CN106557774B - 多通道核相关滤波的实时跟踪方法 - Google Patents
多通道核相关滤波的实时跟踪方法 Download PDFInfo
- Publication number
- CN106557774B CN106557774B CN201510633918.4A CN201510633918A CN106557774B CN 106557774 B CN106557774 B CN 106557774B CN 201510633918 A CN201510633918 A CN 201510633918A CN 106557774 B CN106557774 B CN 106557774B
- Authority
- CN
- China
- Prior art keywords
- target area
- target
- filtering
- filtering template
- indicate
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000001914 filtration Methods 0.000 title claims abstract description 64
- 238000000034 method Methods 0.000 title claims abstract description 44
- 238000012549 training Methods 0.000 claims abstract description 23
- 230000004044 response Effects 0.000 claims abstract description 11
- 230000008569 process Effects 0.000 claims abstract description 10
- 230000006870 function Effects 0.000 claims description 17
- 238000001514 detection method Methods 0.000 claims description 14
- 239000000284 extract Substances 0.000 claims description 9
- 230000001373 regressive effect Effects 0.000 claims description 5
- 241000287196 Asthenes Species 0.000 claims description 3
- 238000005314 correlation function Methods 0.000 claims description 3
- 230000002401 inhibitory effect Effects 0.000 claims description 2
- 238000005457 optimization Methods 0.000 abstract description 2
- 238000012360 testing method Methods 0.000 description 7
- 238000004422 calculation algorithm Methods 0.000 description 5
- 239000002537 cosmetic Substances 0.000 description 4
- 238000011156 evaluation Methods 0.000 description 4
- 239000002245 particle Substances 0.000 description 4
- 230000008859 change Effects 0.000 description 3
- 238000005286 illumination Methods 0.000 description 3
- 230000009286 beneficial effect Effects 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 238000000605 extraction Methods 0.000 description 2
- 230000006872 improvement Effects 0.000 description 2
- 239000011159 matrix material Substances 0.000 description 2
- 238000012544 monitoring process Methods 0.000 description 2
- 230000000737 periodic effect Effects 0.000 description 2
- 238000005070 sampling Methods 0.000 description 2
- 238000013519 translation Methods 0.000 description 2
- 241000195940 Bryophyta Species 0.000 description 1
- 230000003044 adaptive effect Effects 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 238000007630 basic procedure Methods 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 238000005336 cracking Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000002474 experimental method Methods 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 238000003909 pattern recognition Methods 0.000 description 1
- 238000003825 pressing Methods 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 238000005086 pumping Methods 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 238000004904 shortening Methods 0.000 description 1
- 238000004088 simulation Methods 0.000 description 1
- 230000006641 stabilisation Effects 0.000 description 1
- 238000011105 stabilization Methods 0.000 description 1
- 230000002123 temporal effect Effects 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
- G06F18/214—Generating training patterns; Bootstrap methods, e.g. bagging or boosting
Landscapes
- Engineering & Computer Science (AREA)
- Data Mining & Analysis (AREA)
- Theoretical Computer Science (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Bioinformatics & Computational Biology (AREA)
- Artificial Intelligence (AREA)
- Evolutionary Biology (AREA)
- Evolutionary Computation (AREA)
- Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Life Sciences & Earth Sciences (AREA)
- Image Analysis (AREA)
Abstract
Description
Claims (5)
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201510633918.4A CN106557774B (zh) | 2015-09-29 | 2015-09-29 | 多通道核相关滤波的实时跟踪方法 |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201510633918.4A CN106557774B (zh) | 2015-09-29 | 2015-09-29 | 多通道核相关滤波的实时跟踪方法 |
Publications (2)
Publication Number | Publication Date |
---|---|
CN106557774A CN106557774A (zh) | 2017-04-05 |
CN106557774B true CN106557774B (zh) | 2019-04-30 |
Family
ID=58414716
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201510633918.4A Active CN106557774B (zh) | 2015-09-29 | 2015-09-29 | 多通道核相关滤波的实时跟踪方法 |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN106557774B (zh) |
Families Citing this family (19)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107122741B (zh) * | 2017-04-27 | 2020-06-09 | 中国科学院长春光学精密机械与物理研究所 | 一种目标跟踪方法及*** |
CN107146240B (zh) * | 2017-05-05 | 2019-08-13 | 西北工业大学 | 基于相关滤波和显著性检测的航拍视频目标跟踪方法 |
CN107341820B (zh) * | 2017-07-03 | 2018-04-20 | 郑州轻工业学院 | 一种融合Cuckoo搜索和KCF的突变运动目标跟踪方法 |
CN108053425B (zh) * | 2017-12-25 | 2018-10-26 | 北京航空航天大学 | 一种基于多通道特征的高速相关滤波目标跟踪方法 |
CN108550161B (zh) * | 2018-03-20 | 2021-09-14 | 南京邮电大学 | 一种尺度自适应核相关滤波快速目标跟踪方法 |
CN108765458B (zh) * | 2018-04-16 | 2022-07-12 | 上海大学 | 基于相关滤波的高海况无人艇海面目标尺度自适应跟踪方法 |
CN109242883B (zh) * | 2018-08-14 | 2021-01-05 | 西安电子科技大学 | 基于深度sr-kcf滤波的光学遥感视频目标跟踪方法 |
CN109325961B (zh) * | 2018-08-27 | 2021-07-09 | 北京悦图数据科技发展有限公司 | 无人机视频多目标跟踪方法及装置 |
CN109410246B (zh) * | 2018-09-25 | 2021-06-11 | 杭州视语智能视觉***技术有限公司 | 基于相关滤波的视觉跟踪的方法及装置 |
CN109461166A (zh) * | 2018-10-26 | 2019-03-12 | 郑州轻工业学院 | 一种基于kcf混合mfo的快速运动目标跟踪方法 |
CN109670410A (zh) * | 2018-11-29 | 2019-04-23 | 昆明理工大学 | 一种基于多特征的融合的长时运动目标跟踪方法 |
CN109934846B (zh) * | 2019-03-18 | 2023-06-06 | 南京信息工程大学 | 基于时间和空间网络的深度集成目标跟踪方法 |
CN110009664B (zh) * | 2019-04-11 | 2021-08-27 | 南京航空航天大学金城学院 | 一种基于响应图融合的红外目标跟踪方法及装置 |
CN110189365B (zh) * | 2019-05-24 | 2023-04-07 | 上海交通大学 | 抗遮挡相关滤波跟踪方法 |
CN112102356B (zh) * | 2019-06-18 | 2024-07-02 | 北京七鑫易维科技有限公司 | 一种目标跟踪方法、装置、终端设备及存储介质 |
CN110619279B (zh) * | 2019-08-22 | 2023-03-17 | 天津大学 | 一种基于跟踪的路面交通标志实例分割方法 |
CN110599519B (zh) * | 2019-08-27 | 2022-11-08 | 上海交通大学 | 基于领域搜索策略的抗遮挡相关滤波跟踪方法 |
CN110706252B (zh) * | 2019-09-09 | 2020-10-23 | 西安理工大学 | 运动模型引导下的机器人核相关滤波跟踪算法 |
CN111105444B (zh) * | 2019-12-31 | 2023-07-25 | 哈尔滨工程大学 | 一种适用于水下机器人目标抓取的连续跟踪方法 |
Family Cites Families (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104200237B (zh) * | 2014-08-22 | 2019-01-11 | 浙江生辉照明有限公司 | 一种基于核化相关滤波高速自动多目标跟踪方法 |
-
2015
- 2015-09-29 CN CN201510633918.4A patent/CN106557774B/zh active Active
Also Published As
Publication number | Publication date |
---|---|
CN106557774A (zh) | 2017-04-05 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN106557774B (zh) | 多通道核相关滤波的实时跟踪方法 | |
Wei et al. | RPC: A large-scale retail product checkout dataset | |
Laradji et al. | Where are the blobs: Counting by localization with point supervision | |
CN106096577B (zh) | 一种摄像头分布地图中的目标追踪方法 | |
Wang et al. | Actionness estimation using hybrid fully convolutional networks | |
CN108509839A (zh) | 一种基于区域卷积神经网络高效的手势检测识别方法 | |
CN109816689A (zh) | 一种多层卷积特征自适应融合的运动目标跟踪方法 | |
CN109902806A (zh) | 基于卷积神经网络的噪声图像目标边界框确定方法 | |
CN103988232B (zh) | 使用运动流形来改进图像匹配 | |
Huang et al. | Development and validation of a deep learning algorithm for the recognition of plant disease | |
CN105740758A (zh) | 基于深度学习的互联网视频人脸识别方法 | |
CN107481264A (zh) | 一种自适应尺度的视频目标跟踪方法 | |
CN109858415A (zh) | 适用于移动机器人行人跟随的核相关滤波目标跟踪方法 | |
CN108647625A (zh) | 一种表情识别方法及装置 | |
CN110298297A (zh) | 火焰识别方法和装置 | |
Qian et al. | DAL: A deep depth-aware long-term tracker | |
CN106778687A (zh) | 基于局部评估和全局优化的注视点检测方法 | |
CN106803248B (zh) | 模糊车牌图像模糊度评价方法 | |
Hu et al. | Detection and recognition for life state of cell cancer using two-stage cascade CNNs | |
CN103902989A (zh) | 基于非负矩阵分解的人体动作视频识别方法 | |
Xiao et al. | MeMu: Metric correlation Siamese network and multi-class negative sampling for visual tracking | |
Hu et al. | Depth sensor based human detection for indoor surveillance | |
Shen et al. | Infrared multi-pedestrian tracking in vertical view via siamese convolution network | |
Liang et al. | Methods of moving target detection and behavior recognition in intelligent vision monitoring. | |
CN108614988A (zh) | 一种复杂背景下的运动手势自动识别*** |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant | ||
CP02 | Change in the address of a patent holder |
Address after: Room 420, block C, Kechuang headquarters building, 320 pubin Road, Jiangpu street, Pukou District, Nanjing City, Jiangsu Province, 211800 Patentee after: Nanjing University of Information Science and Technology Address before: 210044 No. 219, Ning six road, Nanjing, Jiangsu Patentee before: Nanjing University of Information Science and Technology |
|
CP02 | Change in the address of a patent holder | ||
EE01 | Entry into force of recordation of patent licensing contract |
Application publication date: 20170405 Assignee: Wuxi Yiyingbao Information Technology Co.,Ltd. Assignor: Nanjing University of Information Science and Technology Contract record no.: X2023320000237 Denomination of invention: Real time tracking method for multi-channel kernel correlation filtering Granted publication date: 20190430 License type: Common License Record date: 20231121 |
|
EE01 | Entry into force of recordation of patent licensing contract | ||
EE01 | Entry into force of recordation of patent licensing contract |
Application publication date: 20170405 Assignee: Fujian Kailan Information Technology Co.,Ltd. Assignor: Nanjing University of Information Science and Technology Contract record no.: X2023980051725 Denomination of invention: Real time tracking method for multi-channel kernel correlation filtering Granted publication date: 20190430 License type: Common License Record date: 20231213 |
|
EE01 | Entry into force of recordation of patent licensing contract | ||
EC01 | Cancellation of recordation of patent licensing contract |
Assignee: Fujian Kailan Information Technology Co.,Ltd. Assignor: Nanjing University of Information Science and Technology Contract record no.: X2023980051725 Date of cancellation: 20240507 |
|
EC01 | Cancellation of recordation of patent licensing contract | ||
EC01 | Cancellation of recordation of patent licensing contract |
Assignee: Wuxi Yiyingbao Information Technology Co.,Ltd. Assignor: Nanjing University of Information Science and Technology Contract record no.: X2023320000237 Date of cancellation: 20240510 |
|
EC01 | Cancellation of recordation of patent licensing contract |