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Detecting and tracking distant objects at night based on human visual system
Huang, KQ; Wang, LS; Tan, TN; Narayanan, PJ; Nayar, SK; Shum, HY
Source PublicationCOMPUTER VISION - ACCV 2006, PT II
2006
Volume3852Pages:822-831
SubtypeArticle
AbstractMoving object detection is a challenging task for night security because of bad video quality. In this paper, we propose a robust real time objects detection method for night visual surveillance based on human visual system. By measuring contrast information variation in multiple successive frames, a spatio-temporal contrast change image (CCI) is formed. Then the multi-frame correspondence technology is employed to robustly extract salient motions or moving objects from CCI. Since CCI is a statistical measurement of variation based on human visual system, the proposed method is effective at night and better than traditional detection methods. Experiments on real scene show that the method based on contrast feature is effective for night object detection and tracking, our approach is also robust to camera scale variation as well as low computation cost.
WOS HeadingsScience & Technology ; Technology
Indexed ByISTP ; SCI
Language英语
WOS Research AreaComputer Science
WOS SubjectComputer Science, Artificial Intelligence ; Computer Science, Theory & Methods
WOS IDWOS:000235773200082
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/9325
Collection09年以前成果
AffiliationChinese Acad Sci, Natl Lab Pattern Recognit, Inst Automat, Beijing 100080, Peoples R China
Recommended Citation
GB/T 7714
Huang, KQ,Wang, LS,Tan, TN,et al. Detecting and tracking distant objects at night based on human visual system[J]. COMPUTER VISION - ACCV 2006, PT II,2006,3852:822-831.
APA Huang, KQ,Wang, LS,Tan, TN,Narayanan, PJ,Nayar, SK,&Shum, HY.(2006).Detecting and tracking distant objects at night based on human visual system.COMPUTER VISION - ACCV 2006, PT II,3852,822-831.
MLA Huang, KQ,et al."Detecting and tracking distant objects at night based on human visual system".COMPUTER VISION - ACCV 2006, PT II 3852(2006):822-831.
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