Fast Object Tracking Employing Labelled Particle Filter for Thermal Infrared Imager
More and more network cameras are now working over distributed networks, offering the capability of remote intelligent video surveillance. In this paper, we bring forward an original particle filter tracking algorithm named labelled particle filter which describes each image patch with a binary labe...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Hindawi - SAGE Publishing
2015-07-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1155/2015/497639 |
| _version_ | 1797710689910915072 |
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| author | Junying Yang Zhenghao Li Jingman Xia Peng Han |
| author_facet | Junying Yang Zhenghao Li Jingman Xia Peng Han |
| author_sort | Junying Yang |
| collection | DOAJ |
| description | More and more network cameras are now working over distributed networks, offering the capability of remote intelligent video surveillance. In this paper, we bring forward an original particle filter tracking algorithm named labelled particle filter which describes each image patch with a binary label. Based on the imaging theory of thermography, moving objects, such as pedestrians and automobiles, usually have higher intensities compared with the background in a gray-level pseudocolor mode. Thus an image patch can be classified into two categories according to its intensity distribution, and we can use a one-bit binary label, positive or negative, to describe the attribute of image patch. Therefore, the candidate target template is established only if the label of candidate target matches the label of reference target, and the computational complexity is reduced consequently. Experiments are conducted to show that the proposed algorithm can handle real-time object tracking with less time cost while maintaining high tracking accuracy. |
| first_indexed | 2024-03-12T06:55:53Z |
| format | Article |
| id | doaj.art-35fb6b5bb6be4984ba5d73f8d1cde4b0 |
| institution | Directory Open Access Journal |
| issn | 1550-1477 |
| language | English |
| last_indexed | 2024-03-12T06:55:53Z |
| publishDate | 2015-07-01 |
| publisher | Hindawi - SAGE Publishing |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj.art-35fb6b5bb6be4984ba5d73f8d1cde4b02023-09-03T00:04:24ZengHindawi - SAGE PublishingInternational Journal of Distributed Sensor Networks1550-14772015-07-011110.1155/2015/497639497639Fast Object Tracking Employing Labelled Particle Filter for Thermal Infrared ImagerJunying Yang0Zhenghao Li1Jingman Xia2Peng Han3 Key Laboratory for Optoelectronic Technology and Systems of Ministry of Education, College of Optoelectronic Engineering, Chongqing University, Chongqing 400044, China Chongqing Academy of Science and Technology, Chongqing 401123, China Chongqing Changpeng Industrial Group Co., Ltd., Chongqing 401325, China Chongqing Academy of Science and Technology, Chongqing 401123, ChinaMore and more network cameras are now working over distributed networks, offering the capability of remote intelligent video surveillance. In this paper, we bring forward an original particle filter tracking algorithm named labelled particle filter which describes each image patch with a binary label. Based on the imaging theory of thermography, moving objects, such as pedestrians and automobiles, usually have higher intensities compared with the background in a gray-level pseudocolor mode. Thus an image patch can be classified into two categories according to its intensity distribution, and we can use a one-bit binary label, positive or negative, to describe the attribute of image patch. Therefore, the candidate target template is established only if the label of candidate target matches the label of reference target, and the computational complexity is reduced consequently. Experiments are conducted to show that the proposed algorithm can handle real-time object tracking with less time cost while maintaining high tracking accuracy.https://doi.org/10.1155/2015/497639 |
| spellingShingle | Junying Yang Zhenghao Li Jingman Xia Peng Han Fast Object Tracking Employing Labelled Particle Filter for Thermal Infrared Imager International Journal of Distributed Sensor Networks |
| title | Fast Object Tracking Employing Labelled Particle Filter for Thermal Infrared Imager |
| title_full | Fast Object Tracking Employing Labelled Particle Filter for Thermal Infrared Imager |
| title_fullStr | Fast Object Tracking Employing Labelled Particle Filter for Thermal Infrared Imager |
| title_full_unstemmed | Fast Object Tracking Employing Labelled Particle Filter for Thermal Infrared Imager |
| title_short | Fast Object Tracking Employing Labelled Particle Filter for Thermal Infrared Imager |
| title_sort | fast object tracking employing labelled particle filter for thermal infrared imager |
| url | https://doi.org/10.1155/2015/497639 |
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