CN111950489A - Method and system for measuring speed of non-motor vehicle based on face recognition - Google Patents
Method and system for measuring speed of non-motor vehicle based on face recognition Download PDFInfo
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Abstract
The invention provides a method and a system for measuring speed of a non-motor vehicle based on face recognition, which determine the identity of a measured vehicle owner in a road section with a known distance by comparing the portrait characteristics, the clothing characteristics and the non-motor vehicle characteristics of a plurality of non-motor vehicle owners including the measured vehicle owner in a first recognition position and a second recognition position, and record the time of the measured vehicle owner passing through the road section with the known distance to obtain the driving speed of the measured vehicle owner, thereby facilitating traffic supervision personnel to supervise the overspeed behavior of the non-motor vehicle in real time.
Description
Technical Field
The invention relates to the field of traffic management infrastructure, in particular to a method and a system for measuring speed of a non-motor vehicle based on face recognition.
Background
In recent years, the holding capacity of non-motor vehicles, particularly electric bicycles, is rapidly increased year by year, a huge number of non-motor vehicles bring great convenience to travel, and the non-motor vehicles are green and environment-friendly, so the development of motor vehicles is continued.
At present, many relevant laws are provided in the country, such as that a driver must wear a helmet in a standard manner when driving an electric bicycle, the driver must run on a lane of a non-motor vehicle, but the non-motor vehicle runs at an overspeed, a bottleneck is encountered in the traffic management practice at present, because the non-motor vehicle has a small volume compared with the motor vehicle, when a traditional radar and microwave are in operation, a speed measurement error exists in the speed measurement process of the non-motor vehicle due to a small reflection surface or a too small metal body, and the speed cannot be accurately obtained, and the mobility of the non-motor vehicle is large, so that the real-time monitoring of timely evidence obtaining and road traffic police is not facilitated.
Disclosure of Invention
The invention aims to solve the defects in the prior art, and provides a method and a system for measuring speed of a non-motor vehicle based on face recognition.
In order to achieve the purpose, the invention adopts the following technical scheme:
the invention relates to a method for measuring speed of a non-motor vehicle based on face recognition, which comprises the following steps: setting the distance l between the first recognition position and the second recognition position, and setting the highest speed s1 of the road; the method comprises the steps that a multi-position non-motor vehicle owner of a tested vehicle owner is located at a first identification position, and portrait characteristics, clothing characteristics, non-motor vehicle characteristics and first identification position time t1 of the multi-position non-motor vehicle owner including the tested vehicle owner are obtained; extracting portrait characteristics, clothing characteristics and non-motor vehicle characteristics of a first identification position, and caching the portrait characteristics, the clothing characteristics and the non-motor vehicle characteristics of the first identification position; the method comprises the steps that a plurality of non-motor vehicle owners of a tested vehicle owner are located at a second identification position, and portrait characteristics, clothing characteristics, non-motor vehicle characteristics and second identification position time t2 of the plurality of non-motor vehicle owners of the tested vehicle owner are obtained; comparing the portrait characteristics, the clothing characteristics and the non-motor vehicle characteristics of the identification position with the cached portrait characteristics, the clothing characteristics and the non-motor vehicle characteristics, and judging whether the portrait characteristics, the clothing characteristics and the non-motor vehicle characteristics of the first identification position with similar height are matched.
When the second identification position of the tested vehicle owner is successfully matched with the portrait feature, the clothing feature and the non-motor vehicle feature of the first identification position, determining the unique identity of the tested vehicle owner, judging whether s is greater than s1 or not when the actual speed of the tested vehicle owner is s = l/(t 2-t 1), and judging whether the tested vehicle owner has overspeed behavior when s is greater than s 1; and when s is less than or equal to s1, judging that the detected owner has no overspeed behavior.
And if the second identification position of the detected vehicle owner fails to be matched with the portrait characteristic, the clothing characteristic and the non-motor vehicle characteristic of the first identification position, judging that the detected vehicle owner has no overspeed behavior.
The step of comparing the portrait characteristics, the clothing characteristics and the non-motor vehicle characteristics of the second identification position with the cached portrait characteristics, the clothing characteristics and the non-motor vehicle characteristics comprises the following steps:
comparing the portrait characteristics preferentially, determining the unique identity of the owner of the tested vehicle when the portrait characteristics are compared to generate unique height approximate matching, and continuously matching the non-motor vehicle characteristics in the matching data when the number of the height approximate matching is more than or equal to 2;
when the matching data of the non-motor vehicle feature comparison shows the only approximate height matching, determining the only identity of the owner of the tested vehicle, and when the matching data of the non-motor vehicle feature comparison shows that the approximate height number is more than or equal to 2, continuously matching the clothing features in the matching data;
when the clothes feature comparison shows that the only approximate height match exists in the matching data, the only identity of the owner of the tested vehicle is determined, and when the clothes feature comparison shows that the approximate height number is more than or equal to 2, the overspeed behavior is judged not to exist; after the unique identity of the vehicle owner is judged, the vehicle owner to be tested is continuously judged to drive.
The invention discloses a speed measuring system based on face recognition of a non-motor vehicle, which comprises a first camera, a second camera and a speed sensor, wherein the first camera is used for acquiring portrait characteristics, clothing characteristics and non-motor vehicle characteristics of a first recognition position of a plurality of non-motor vehicle owners including a vehicle owner to be measured at a first recognition position;
the system comprises a characteristic caching module, a first identification position portrait characteristic, a clothing characteristic and a non-motor vehicle characteristic, wherein the portrait characteristic, the clothing characteristic and the non-motor vehicle characteristic are obtained at a first identification position and comprise a plurality of non-motor vehicle owners of a vehicle owner to be tested;
the system comprises a second camera, a speed measuring device and a speed measuring device, wherein the second camera is used for acquiring portrait characteristics, clothing characteristics and non-motor vehicle characteristics of a first identification position of a plurality of non-motor vehicle owners including the owner to be tested at a second identification position;
the system comprises a data processing unit provided with a resident thread, wherein the data processing unit is used for recording the time of a plurality of non-motor vehicle owners including a speed-measured vehicle owner in a first identification position and a second identification position, and the resident thread is used for comparing the portrait characteristics, the clothing characteristics and the non-motor vehicle characteristics of the first identification position including the plurality of non-motor vehicle owners including the speed-measured vehicle owner, which are acquired from the first identification position cached in a characteristic caching module, with the portrait characteristics, the clothing characteristics and the non-motor vehicle owner characteristics of the first identification position including the plurality of non-motor vehicle owners including the speed-measured vehicle owner, which are acquired from a second camera, and calculating the speed of the speed-measured vehicle;
the first camera, the characteristic caching module, the second camera and the data processing unit are connected through an Ethernet.
Further, the distance between the first camera and the second camera is larger than 100m, and the set road section is generally a straight line and has no traffic light.
The system further comprises a data communication module connected with the data processing unit through Ethernet, and the data processing unit transmits the image characteristics, the clothing characteristics, the non-motor vehicle characteristics and the driving speed of the tested vehicle to external equipment through the data communication module.
The road traffic law enforcement personnel can hold the mobile terminal by hand and receive the actual overspeed speed and the image information of the tested vehicle owner sent by the data communication module in real time.
Compared with the prior art, the invention discloses a method for measuring speed of a non-motor vehicle based on face recognition, which compares the image characteristics, the clothing characteristics and the non-motor vehicle characteristics of a detected vehicle owner through accurate shooting to confirm the accurate identity of the detected vehicle owner, and obtains the accurate speed of the detected vehicle owner through a real-time calculation mode of a data processing unit, so that the speed measurement precision is high; meanwhile, images and speed information of overspeed vehicle owners are checked in real time through the mobile terminal device, and real-time road supervision is facilitated.
Drawings
FIG. 1 is a flow chart of a method for measuring speed of a non-motor vehicle based on face recognition according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of a system for measuring speed of a non-motor vehicle based on face recognition according to an embodiment of the present invention;
description of reference numerals: 1. the system comprises a first camera, 2, a feature cache module, 3, a second camera, 4, a data processing unit, 5, a data communication module and 6, a mobile terminal.
Detailed Description
In order to further understand the objects, structures, features and functions of the present invention, the following embodiments are described in detail.
Referring to fig. 1, a method for measuring speed of a non-motor vehicle based on face recognition is disclosed in patent embodiment 1, and the method is characterized by comprising the following steps:
s1, setting the distance l between the first identification position and the second identification position, setting the highest speed S1 of the road, setting the speed measuring road between two traffic lights as a straight line section, and setting the distance between the first identification position and the second identification position to be larger than 100 m.
S2, including that a plurality of non-motor vehicle owners of the detected vehicle owners are located at a first identification position, portrait characteristics, clothing characteristics, non-motor vehicle characteristics and first identification position time t1 of the plurality of non-motor vehicle owners including the detected vehicle owners are obtained, the portrait characteristics are face image characteristics of the non-motor vehicle owners, the clothing characteristics and the non-motor vehicle characteristics mainly include color characteristics of clothing, color characteristics of the non-motor vehicle and license plate characteristics, and in order to avoid the situation that the face of the detected vehicle owner does not face a camera and the collected portrait characteristics are not clear, the portrait characteristics can be obtained by adopting a multi-camera combination.
S3, extracting portrait characteristics, clothing characteristics and non-motor vehicle characteristics of the first recognition position, and caching the portrait characteristics, the clothing characteristics and the non-motor vehicle characteristics of the first recognition position.
S4, the number of the non-motor vehicle owners of the tested vehicle owners are located at the second identification position, and portrait characteristics, clothing characteristics, non-motor vehicle characteristics and second identification position time t2 of the number of the non-motor vehicle owners including the tested vehicle owners are obtained.
S5, comparing the portrait characteristics, the clothing characteristics and the non-motor vehicle characteristics of the identification position with the cached portrait characteristics, clothing characteristics and non-motor vehicle characteristics, and judging whether the portrait characteristics, the clothing characteristics and the non-motor vehicle characteristics of the first identification position with similar height are matched; and the portrait characteristics, the clothing characteristics and the non-motor vehicle characteristics of the first identification position cached in the S3 are directly used for participating in information comparison of the S5, so that the processing and operation time of the system is reduced.
S6-S7, when the second identification position of the tested vehicle owner is successfully matched with the portrait characteristics, the clothing characteristics and the non-motor vehicle characteristics of the first identification position, the actual speed of the tested vehicle owner is S = l/(t 2-t 1), whether S is greater than S1 is judged, and when S is greater than S1, the tested vehicle owner is judged to have overspeed behavior; when s is less than or equal to s1, judging that the detected owner has no overspeed behavior; the portrait characteristics, the clothing characteristics and the non-motor vehicle characteristics of the second recognition position and the first recognition position are successfully matched, the portrait characteristic comparison is taken as a fundamental basis, the clothing characteristics and the non-motor vehicle characteristics are taken as an auxiliary basis, and the portrait characteristics, the clothing characteristics and the non-motor vehicle characteristics of the second recognition position and the first recognition position are successfully matched, so that the identity of the tested vehicle is determined and confirmed, the recognition process is stricter, and the false recognition is avoided.
When the second identification position of the vehicle owner to be tested is judged to be unsuccessfully matched with the portrait characteristics, the clothing characteristics and the non-motor vehicle characteristics of the first identification position, judging that no overspeed behavior exists; if the tested vehicle is mainly provided with a buckle cover or a face shelter such as a face mask, the combination of other non-motor vehicle speed measurement modes can be considered for use, if the situation is not in the discussion range of the scheme.
The step of comparing the portrait characteristic, the clothing characteristic and the non-motor vehicle characteristic of the second identification position with the cached portrait characteristic in the S5 comprises the following steps:
comparing the portrait characteristics preferentially, determining the unique identity of the owner of the tested vehicle when the portrait characteristics are compared to generate unique height approximate matching, and continuously matching the non-motor vehicle characteristics in the matching data when the number of the height approximate matching is more than or equal to 2;
when the matching data of the non-motor vehicle feature comparison shows the only approximate height matching, determining the only identity of the owner of the tested vehicle, and when the matching data of the non-motor vehicle feature comparison shows that the approximate height number is more than or equal to 2, continuously matching the clothing features in the matching data;
when the clothes feature comparison shows that the only approximate height match exists in the matching data, the only identity of the owner of the tested vehicle is determined, and when the clothes feature comparison shows that the approximate height number is more than or equal to 2, the overspeed behavior is judged not to exist.
Please refer to fig. 2, which is a system for measuring speed based on face recognition of a non-motor vehicle according to another embodiment of the present invention, and the working principle described in the embodiment of fig. 1 is not repeated herein, including a first camera for obtaining a portrait characteristic, a clothing characteristic, and a non-motor vehicle characteristic of a first recognition location including multiple non-motor vehicle owners of a vehicle owner to be measured at the first recognition location;
the system comprises a characteristic caching module, a first identification position portrait characteristic, a clothing characteristic and a non-motor vehicle characteristic, wherein the portrait characteristic, the clothing characteristic and the non-motor vehicle characteristic are obtained at a first identification position and comprise a plurality of non-motor vehicle owners of a vehicle owner to be tested;
the system comprises a second camera, a speed measuring device and a speed measuring device, wherein the second camera is used for acquiring portrait characteristics, clothing characteristics and non-motor vehicle characteristics of a first identification position of a plurality of non-motor vehicle owners including the owner to be tested at a second identification position;
the system comprises a data processing unit provided with a resident thread, wherein the data processing unit is used for recording the time of a plurality of non-motor vehicle owners including a speed-measured vehicle owner in a first identification position and a second identification position, and the resident thread is used for comparing the portrait characteristics, the clothing characteristics and the non-motor vehicle characteristics of the first identification position including the plurality of non-motor vehicle owners including the speed-measured vehicle owner, which are acquired from the first identification position cached in a characteristic caching module, with the portrait characteristics, the clothing characteristics and the non-motor vehicle owner characteristics of the first identification position including the plurality of non-motor vehicle owners including the speed-measured vehicle owner, which are acquired from a second camera, and calculating the speed of the speed-measured vehicle;
the first camera, the characteristic caching module, the second camera and the data processing unit are connected through an Ethernet.
The distance between the first camera and the second camera is larger than 100 m.
The system is characterized by further comprising a data communication module connected with the data processing unit through Ethernet, the data processing unit transmits the image characteristics, the clothing characteristics, the characteristics of the non-motor vehicle and the driving speed of the detected vehicle to external equipment through the data communication module, and the external equipment is a mobile terminal.
The mobile terminal is connected with the data communication module through a wireless network and used for receiving real-time image characteristics, clothing characteristics, non-motor vehicle characteristics and driving speed of the detected vehicle sent by the data communication module, and traffic managers can supervise the detected vehicle main image and the speed information transmitted by the real-time data communication module at the second camera setting position.
The present invention has been described in relation to the above embodiments, which are only exemplary of the implementation of the present invention. It should be noted that the disclosed embodiments do not limit the scope of the invention. Rather, it is intended that all such modifications and variations be included within the spirit and scope of this invention.
Claims (6)
1. A method for measuring speed of a non-motor vehicle based on face recognition is characterized by comprising the following steps:
setting the distance l between the first recognition position and the second recognition position, and setting the highest speed s1 of the road;
the method comprises the steps that a multi-position non-motor vehicle owner of a tested vehicle owner is located at a first identification position, and portrait characteristics, clothing characteristics, non-motor vehicle characteristics and first identification position time t1 of the multi-position non-motor vehicle owner including the tested vehicle owner are obtained;
extracting portrait characteristics, clothing characteristics and non-motor vehicle characteristics of a first identification position, and caching the portrait characteristics, the clothing characteristics and the non-motor vehicle characteristics of the first identification position;
the method comprises the steps that a plurality of non-motor vehicle owners of a tested vehicle owner are located at a second identification position, and portrait characteristics, clothing characteristics, non-motor vehicle characteristics and second identification position time t2 of the plurality of non-motor vehicle owners of the tested vehicle owner are obtained;
comparing the portrait characteristics, the clothing characteristics and the non-motor vehicle characteristics of the second identification position with the cached portrait characteristics, clothing characteristics and non-motor vehicle characteristics, and judging whether the portrait characteristics, the clothing characteristics and the non-motor vehicle characteristics of the first identification position with similar height are matched from the portrait characteristics, the clothing characteristics and the non-motor vehicle characteristics;
when the second identification position of the tested vehicle owner is successfully matched with the portrait feature, the clothing feature and the non-motor vehicle feature of the first identification position, determining the unique identity of the tested vehicle owner, judging whether s is greater than s1 or not when the actual speed of the tested vehicle owner is s = l/(t 2-t 1), and judging whether the tested vehicle owner has overspeed behavior when s is greater than s 1; when s is less than or equal to s1, judging that the detected owner has no overspeed behavior;
and if the second identification position of the vehicle owner to be tested fails to be matched with the portrait characteristics, the clothing characteristics and the non-motor vehicle characteristics of the first identification position, judging that no overspeed behavior exists.
2. A method for measuring speed of a non-motor vehicle based on face recognition is characterized in that: the step of comparing the portrait characteristics, the clothing characteristics and the non-motor vehicle characteristics of the second identification position with the cached portrait characteristics, the clothing characteristics and the non-motor vehicle characteristics comprises the following steps:
comparing the portrait characteristics preferentially, determining the unique identity of the owner of the tested vehicle when the portrait characteristics are compared to generate unique height approximate matching, and continuously matching the non-motor vehicle characteristics in the matching data when the number of the height approximate matching is more than or equal to 2;
when the matching data of the non-motor vehicle feature comparison shows the only approximate height matching, determining the only identity of the owner of the tested vehicle, and when the matching data of the non-motor vehicle feature comparison shows that the approximate height number is more than or equal to 2, continuously matching the clothing features in the matching data;
when the clothes feature comparison shows that the only approximate height match exists in the matching data, the only identity of the owner of the tested vehicle is determined, and when the clothes feature comparison shows that the approximate height number is more than or equal to 2, the overspeed behavior is judged not to exist.
3. The utility model provides a system for it tests speed to be based on face identification non-motor vehicle which characterized in that:
the system comprises a first camera, a first identification position and a second camera, wherein the first camera is used for acquiring portrait characteristics, clothing characteristics and non-motor vehicle characteristics of a plurality of non-motor vehicle owners including a speed-measured owner at the first identification position;
the system comprises a characteristic caching module, a first identification position portrait characteristic, a clothing characteristic and a non-motor vehicle characteristic, wherein the portrait characteristic, the clothing characteristic and the non-motor vehicle characteristic are obtained at a first identification position and comprise a plurality of non-motor vehicle owners of a vehicle owner to be tested;
the system comprises a second camera, a speed measuring device and a speed measuring device, wherein the second camera is used for acquiring portrait characteristics, clothing characteristics and non-motor vehicle characteristics of a first identification position of a plurality of non-motor vehicle owners including the owner to be tested at a second identification position;
the system comprises a data processing unit provided with a resident thread, wherein the data processing unit is used for recording the time of a plurality of non-motor vehicle owners including a speed-measured vehicle owner in a first identification position and a second identification position, and the resident thread is used for comparing the portrait characteristics, the clothing characteristics and the non-motor vehicle characteristics of the first identification position including the plurality of non-motor vehicle owners including the speed-measured vehicle owner, which are acquired from the first identification position cached in a characteristic caching module, with the portrait characteristics, the clothing characteristics and the non-motor vehicle owner characteristics of the first identification position including the plurality of non-motor vehicle owners including the speed-measured vehicle owner, which are acquired from a second camera, and calculating the speed of the speed-measured vehicle;
the first camera, the characteristic caching module, the second camera and the data processing unit are connected through an Ethernet.
4. The system for measuring speed of a non-motor vehicle based on face recognition as claimed in claim 3, wherein: the distance between the first camera and the second camera is larger than 100 m.
5. The system for measuring speed of a non-motor vehicle based on face recognition as claimed in claim 3, wherein: the device also comprises a data communication module connected with the data processing unit through Ethernet, and the data processing unit transmits the image characteristics, the clothing characteristics, the non-motor vehicle characteristics and the driving speed of the tested vehicle to external equipment through the data communication module.
6. The system for measuring speed of a non-motor vehicle based on face recognition as claimed in claim 3, wherein: the mobile terminal is connected with the data communication module through a wireless network and used for receiving the real-time image characteristics, the clothing characteristics, the non-motor vehicle characteristics and the driving speed of the detected vehicle owner sent by the data communication module.
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Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1731466A (en) * | 2005-08-04 | 2006-02-08 | 施俊 | A system for monitoring overspeed behavior of vehicle and operating method thereof |
| CN102592457A (en) * | 2012-02-13 | 2012-07-18 | 山东鼎讯智能交通科技有限公司 | Compound type interval velocity-measuring system based on internet of things technology and method thereof |
| CN103745566A (en) * | 2014-01-22 | 2014-04-23 | 北京京东方光电科技有限公司 | Mobile terminal camera device and method using same to perform vehicle speed measuring and alarming |
| CN107644204A (en) * | 2017-09-12 | 2018-01-30 | 南京凌深信息科技有限公司 | A kind of human bioequivalence and tracking for safety-protection system |
| CN109101016A (en) * | 2018-07-25 | 2018-12-28 | 智慧式控股有限公司 | Wisdom formula transports automatically and sells vehicle and shared system and business model |
| CN110288738A (en) * | 2019-06-28 | 2019-09-27 | 北京无线电计量测试研究所 | A kind of cycle path intelligent comprehensive managing and control system and management-control method |
| CN110321804A (en) * | 2019-06-11 | 2019-10-11 | 福建亿安智能技术有限公司 | One kind is combined based on face and electronic Car license recognition and carries out identity authentication method |
-
2020
- 2020-08-18 CN CN202010833842.0A patent/CN111950489B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1731466A (en) * | 2005-08-04 | 2006-02-08 | 施俊 | A system for monitoring overspeed behavior of vehicle and operating method thereof |
| CN102592457A (en) * | 2012-02-13 | 2012-07-18 | 山东鼎讯智能交通科技有限公司 | Compound type interval velocity-measuring system based on internet of things technology and method thereof |
| CN103745566A (en) * | 2014-01-22 | 2014-04-23 | 北京京东方光电科技有限公司 | Mobile terminal camera device and method using same to perform vehicle speed measuring and alarming |
| CN107644204A (en) * | 2017-09-12 | 2018-01-30 | 南京凌深信息科技有限公司 | A kind of human bioequivalence and tracking for safety-protection system |
| CN109101016A (en) * | 2018-07-25 | 2018-12-28 | 智慧式控股有限公司 | Wisdom formula transports automatically and sells vehicle and shared system and business model |
| CN110321804A (en) * | 2019-06-11 | 2019-10-11 | 福建亿安智能技术有限公司 | One kind is combined based on face and electronic Car license recognition and carries out identity authentication method |
| CN110288738A (en) * | 2019-06-28 | 2019-09-27 | 北京无线电计量测试研究所 | A kind of cycle path intelligent comprehensive managing and control system and management-control method |
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