CN102750539A - Device and method for counting regional space population - Google Patents
Device and method for counting regional space population Download PDFInfo
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- CN102750539A CN102750539A CN2012101843725A CN201210184372A CN102750539A CN 102750539 A CN102750539 A CN 102750539A CN 2012101843725 A CN2012101843725 A CN 2012101843725A CN 201210184372 A CN201210184372 A CN 201210184372A CN 102750539 A CN102750539 A CN 102750539A
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Abstract
The invention relates to a device for counting regional space population. The device comprises an acquisition module (10), a video processing module (20), a rejecting module (30), a storage module (40), a human body target identification module (50), a data processing module (60) and a data output module (70) which are sequentially connected. A method for counting the regional space population comprises the following steps of: acquiring image information and infrared temperature information of a monitored region simultaneously; according to the infrared temperature information, rejecting targets inconsistent with human body temperature in the monitored region; identifying human bodies in the monitored region; counting the number of the identified human bodies; and outputting a result. The device is simpler than a system and is convenient to use; and the use method can be easily identified by a computer system, the detection speed is quick, the occupied memory is less, and the number of population in a regional space can be effectively, quickly and accurately counted.
Description
Technical field
The present invention relates to data processing technique, particularly crowd's quantity statistics device and statistical method in the area of space.
Background technology
In today that the information system management level improves day by day; Carry out crowd's quantity statistics for huge places of flow of the people such as station, market, supermarkets, and, can reasonably reduce the big energy consumption equipment such as opening amount of air-conditioning according to what of the volume of the flow of passengers; Be that economy is energy-conservation again like this, but also environmental protection.To this problem, the detection of crowd's quantity has been played key effect in automatic video monitoring, interpersonal many-side application such as mutual.Traditional crowd's statistical method is based on the artificial technology or artificial electronic equipment flip-flop number realizes.This method not only workload is big, and wrong report and rate of failing to report are high, and efficient is very low, and receives equipment and staff's restriction, and range of application is extremely limited.The development of Along with computer technology utilizes computer vision and image processing techniques, realizes video crowd demographics, in the public administration field of reality, is widely used.At present, mainly followed the general step of crowd's detection, tracking technique technically based on crowd's statistical method of video monitoring.This method is single in background, under the lower situation of crowd density, especially for single alone through a certain zone, have good statistics effect.But, because China is populous nation, crowd's One's name is legion, and characteristics such as flowability is bigger.Therefore, a kind of to carry out statistic device for the regional space crowd imperative for research.
Summary of the invention
The present invention provides a kind of device and statistical method thereof that the regional space crowd is added up, and adopts multiple RM combination and adds up the drawback that can not add up big crowd in the solution prior art automatically.
The present invention solves the problems of the technologies described above this device that the regional space crowd is added up that provides to comprise acquisition module, video processing module, rejecting module, memory module, human body target identification module, data processing module and the data outputting module that connects successively.Said acquisition module comprises video acquisition module and the infrared temperature detecting module that connects video processing module respectively; Said human body target identification module comprises image comparison module, number of people identification module and people's body identification module; This device also comprises data disaply moudle and the data communication module that connects data outputting module respectively.
And the statistical method of this device may further comprise the steps: A. gathers the image information and the infrared temperature information of surveillance area at first simultaneously; B. convert color image information into gray level image information; C. according to infrared temperature information in the guarded region of being gathered in the steps A, reject the target that does not meet human body temperature in the guarded region; D. the human body in the guarded region is discerned; E. the human body quantity of being discerned is carried out statistical computation, and the result is exported.
It is any a period of time of unit that the collection period of image information described in the steps A and infrared temperature information can be provided with millisecond, second, minute, hour; Human body identification among the step D comprises step by step following: D1. worked as for two image frame grabber times very in short-term; During like 1ms, 10ms; Can adopt front and back two two field pictures in the same area are compared, reject repeater's body target; D2. to discerning in the surveillance area, and will confirm as the mark that carries out of human body according to number of people characteristic; D3. the part that is not labeled is carried out characteristics of human body's identification.
The identification of human body among step D2 and the D3 is to be the center of circle with the center in the surveillance area, with the concentric circles form around the outside scanning search of this center of circle from coil to coil.Human body quantity Calculation method is that fixed human body among the step D is accumulated in the step e.The output of data described in the step e comprises through display screen and shows statistics, statistics is outputed in other equipment or the background management system through data-out port.
The present invention mainly by camera acquisition to image handle; Analyze and rejecting etc. that thermal camera carries out pseudo-human body target finally realizes the crowd in the area-of-interest is added up; Can be for crowd's quantity real-time statistics; Therefore, can be used as the strong foundation of crowd's flow control.Utilize a kind of device and statistical method thereof that the regional space crowd is added up of the present invention to play critical effect in the place that the crowd is dense such as waiting room, passenger station at the train station.Advantages such as it is simpler that this device is compared system, easy to use, and method of application is discerned by computer system easily, and detection speed is fast, and committed memory is few.Can be effective, fast, crowd's quantity of adding up the railway station waiting room accurately; Also can be according to crowd's quantity of calculating; Reasonably close the equipment of big energy consumption such as some unwanted air-conditionings, not only ensured personal safety, also reached the purpose of energy-saving and emission-reduction; When having met the trend of national development, also reached the effect of environmental protection.Its utilization has following beneficial effect:
1, this invention is a device, and it is simpler to compare system, easy to use.
2, this device adopts the image-capture mode, and the extracting time can be provided with, as every millisecond; Per second, per minutes etc. can be through the candid photograph time of setting; Grasp the situation of change of the crowd's quantity in a period of time; Reach real-time monitoring crowd quantity, and then reasonably control the volume of the flow of passengers, guarantee personal safety.
3, the method has improved real-time, and noise resisting ability is strong and committed memory is little, the precision advantages of higher.
4, for highdensity place on a large scale; Still accomplish high precision crowd quantity statistics,, not only ensured personal safety for control crowd quantity plays immeasurable value; Can also be as the effective reference frame of big energy consumption equipment use amount, promptly energy-conservation environmental protection again.
Description of drawings
Fig. 1 is the schematic flow sheet of statistical method according to the invention.Fig. 2 is the decomposition step synoptic diagram of step D according to the invention.Fig. 3 is a kind of synoptic diagram that the regional space crowd is carried out statistic device of the present invention.
Embodiment
In conjunction with above-mentioned description of drawings specific embodiment of the present invention.
By knowing among Fig. 3; A kind of device that the regional space crowd is added up of the present invention is characterized in that: this device comprises acquisition module 10, video processing module 20, rejecting module 30, memory module 40, human body target identification module 50, data processing module 60 and the data outputting module 70 that connects successively.Said acquisition module 10 comprises video acquisition module 11 and the infrared temperature detecting module 12 that connects video processing module 20 respectively; Said human body target identification module 50 comprises image comparison module 51, number of people identification module 52 and people's body identification module 53; This device also comprises data disaply moudle 80 and the data communication module 90 that connects data outputting module 70 respectively.Wherein: video acquisition module 11 is used for obtaining the video image that regional space is moved the real-time monitoring of crowd from the image capture device video camera; Infrared temperature detecting module 12 is used for the heat radiation situation of view data is gathered; Video processing module 20 is used for the guarded region image of colour is converted into the greyscale video image; Reject module 30 and be used to distinguish human body target and non-human body target, and reject the pseudo-human body target that heat does not meet body temperature through the heat radiation situation in the view data of thermal camera; Memory module 40 is used to store the human figure model of rejecting the greyscale video image behind the non-human body target and can represent majority's all ages and classes section; Human body target identification module 50 (comprising image comparison module 51, number of people identification module 52 and people's body identification module 53):
51 pairs of two adjacent two field pictures of image comparison module compare identification, have guaranteed output result's accuracy, have rejected repeater's body target effectively.The application of this method only was fit to be applied in two frame period times less the time, and for example two frame times are spaced apart under the situation in 1ms, the 10ms, otherwise, the judgement that can make the mistake to the output result with this method; This device is the two frame times size at interval of identification setting automatically, if the time interval is bigger, internal algorithm will not adopt this method.
Number of people identification module 52 is rejected non-human body target in front and is repeated to discern more accurately under the condition of human body target of human body target the quantity of the number of people, has practiced thrift the time of human body search, does accurate preparation for counting the number of people;
People's body identification module 53 is used for that (black picture element of the human body target that the number of people is identified becomes white pixel to the human body target whitenessization of the easy identification that has come out; Prevent to repeat to add up human body target) after image; Carry out the identification of human figure, finally identify all human body targets of this regional space; Data processing module 60 is used for the image of finally handling well is carried out the number accumulation algorithm; Data outputting module 70 is used for crowd's quantity that this range statistics is come out, exports; Data disaply moudle 80 is used for crowd's statistics of display result output module; Data communication module 90 is connected in background monitoring system, realizes data upload.
By knowing among Fig. 1 and Fig. 2, the statistical method of said apparatus may further comprise the steps: A. gathers the image information and the infrared temperature information of surveillance area at first simultaneously; From the image capture device video camera, obtaining needs the video area of monitoring to selection in the video image that moves crowd's monitoring in real time, and obtains the data of this zone infrared emanation situation; B. convert color image information into gray level image information; C. according to infrared temperature information in the guarded region of being gathered in the steps A, reject the target that does not meet human body temperature in the guarded region; D. the human body in the guarded region is discerned; E. the human body quantity of being discerned is carried out statistical computation, and the result is exported.
The collection period of image information described in the steps A and infrared temperature information can be set to millisecond, second, minute be the cycle length (for example 10ms, 30s, 1min or the like) of unit; The identification of human body among the step D comprises step by step following: D1. when signal acquisition periods be between the 1ms to 10ms the time; Front and back two two field pictures in the same area are compared; Reject repeater's body target, when per two two field picture interval times are long, can influence the precision of this zone crowd statistics on the contrary; Therefore, will walk around this step in this case.
The identification of human body among the step D also comprises step by step following: D2. is to discerning according to number of people characteristic in the surveillance area, and will confirm as the mark that carries out of human body; In the new zone of human body target, there are some black picture elements to assemble the shape comparison rule, be equivalent to similar round, adopt number of people recognition methods just can confirm human body target easily; D3. the part that is not labeled is carried out characteristics of human body's identification; The black picture element whitenessization of the human body target of having confirmed; Prevent to repeat to add up crowd's quantity; The black pixel point in the remaining human body target zone and the human figure image that can represent majority of storage are compared analysis, finally confirm human body target.
The identification of human body among step D2 and the D3 be center with the surveillance area as the center of circle, with the concentric circles form around the outside scanning search of this center of circle from coil to coil, at step C according to human body temperature; Reject the zone that does not have human body target in the zone; Obtain a new human body target zone that has dwindled, can dwindle the hunting zone of human body target greatly like this, and then save search time; Improved the efficient of crowd's statistics; Area image is cut apart, and is the center of circle with any point (preferably center) of new region, and the area that evenly enlarges circle to circumferential outer edges gradually with concentric circles successively carries out the human body target search; Area image is effectively cut apart, as starting point, be assumed to be the starting point of vector from the center of new region, according to certain radius length, promptly the length of vector as Second hand for clock and watch, is carried out circular scan counterclockwise; Evenly enlarge the length of vectorial radius gradually, promptly search for area and enlarge gradually.Through above step human body target identification is carried out in the new human body target zone that forms, finally counted this regional space crowd's total number of persons.
Human body quantity Calculation method is that fixed human body among the step D is accumulated in the step e, and the output of data described in the step e comprises through display screen and shows statistics, statistics is outputed in other equipment or the background management system through data-out port.
Above content is to combine concrete preferred implementation to the further explain that the present invention did, and can not assert that practical implementation of the present invention is confined to these explanations.For the those of ordinary skill of technical field under the present invention, under the prerequisite that does not break away from the present invention's design, can also make some simple deduction or replace, all should be regarded as belonging to protection scope of the present invention.
Claims (10)
1. device that the regional space crowd is added up is characterized in that: this device comprises the acquisition module (10), the video processing module (20) that connect successively, rejects module (30), memory module (40), human body target identification module (50), data processing module (60) and data outputting module (70).
2. according to the said a kind of device that the regional space crowd is added up of claim 1, it is characterized in that: said acquisition module (10) comprises video acquisition module (11) and the infrared temperature detecting module (12) that connects video processing module (20) respectively.
3. according to the said a kind of device that the regional space crowd is added up of claim 1, it is characterized in that: said human body target identification module (50) comprises image comparison module (51), number of people identification module (52) and people's body identification module (53).
4. according to the said a kind of device that the regional space crowd is added up of claim 1, it is characterized in that: this device also comprises data disaply moudle (80) and the data communication module (90) that connects data outputting module (70) respectively.
5. statistical method like each said device that the regional space crowd is added up in the claim 1 to 4, this method may further comprise the steps: A. gathers the image information and the infrared temperature information of surveillance area at first simultaneously; B. convert color image information into gray level image information; C. according to infrared temperature information in the guarded region of being gathered in the steps A, reject the target that does not meet human body temperature in the guarded region; D. the human body in the guarded region is discerned; E. the human body quantity of being discerned is carried out statistical computation, and the result is exported.
6. statistical method according to claim 5; It is characterized in that: it is any a period of time of unit that the collection period of image information described in the steps A and infrared temperature information can be provided with millisecond, second, minute, hour; The identification of human body among the step D comprises step by step following: D1. when signal acquisition periods be between the 1ms to 10ms the time; Front and back two two field pictures in the same area are compared, reject repeater's body target.
7. statistical method according to claim 5 is characterized in that: the identification of human body among the step D also comprises step by step following: D2. is to discerning according to number of people characteristic in the surveillance area, and will confirm as the mark that carries out of human body; D3. the part that is not labeled is carried out characteristics of human body's identification.
8. statistical method according to claim 7 is characterized in that: the identification of human body among step D2 and the D3 is that the geometric center with the surveillance area is the center of circle, with the concentric circles form around the outside scanning search of this center from coil to coil.
9. statistical method according to claim 8 is characterized in that: human body quantity Calculation method is that fixed human body among the step D is accumulated in the step e.
10. statistical method according to claim 5 is characterized in that: the output of data described in the step e comprises through display screen and shows statistics, statistics is outputed in other equipment or the background management system through data-out port.
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Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101835032A (en) * | 2010-04-27 | 2010-09-15 | 沈阳瑗玛信息技术有限公司 | Multi-camera crowd-gathered message statistic device and method |
-
2012
- 2012-06-06 CN CN201210184372.5A patent/CN102750539B/en active Active
Patent Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101835032A (en) * | 2010-04-27 | 2010-09-15 | 沈阳瑗玛信息技术有限公司 | Multi-camera crowd-gathered message statistic device and method |
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