CASIA OpenIR  > 模式识别国家重点实验室  > 生物识别与安全技术研究
Multicamera Joint Video Synopsis
Zhu, Jianqing1,2,3; Liao, Shengcai2,3; Li, Stan Z.2,3
Source PublicationIEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY
2016-06-01
Volume26Issue:6Pages:1058-1069
SubtypeArticle
AbstractDue to an increasing demand for video surveillance, there is an explosive growth of surveillance videos, which causes a big challenge in video storage, browsing, and retrieval. The video synopsis technique is thus developed to extract and rearrange the moving objects so as to handle the massive video browsing challenge. However, the traditional video synopsis (TVS) method only considers the processing videos captured by a single camera, ignoring object interactions in multicamera videos. To address this issue, we propose a novel multicamera joint video synopsis (JVS) algorithm for multicamera surveillance videos. First, a key time stamp (KTS) selection method is designed to find an object's appearing, merging, splitting, and disappearing moments in the frame sequence, called tube, of that object. Second, tubes are rearranged by minimizing a global energy function that involves the overall camera views. Compared with the energy function used in TVS, the proposed global energy function considers the chronological orders of tubes not only in the same camera view but also among different camera views. Moreover, the chronological disorder cost term is formulated based on the KTS labels, and improved by considering the visual similarity between two tubes. Finally, the multicamera synopsis videos are separately generated by stitching together the globally rearranged tubes and background images of the same camera view. Extensive experiments show that the proposed JVS method is better than the traditional single-camera video synopsis method in preserving the chronological orders of moving objects among multicamera synopsis videos.
KeywordCamera Network Joint Video Synopsis (Jvs) Video Surveillance
WOS HeadingsScience & Technology ; Technology
DOI10.1109/TCSVT.2015.2430692
WOS KeywordCONDENSATION ; IMAGE
Indexed BySCI
Language英语
Funding OrganizationNational Natural Science Foundation of China(61203267 ; National Science and Technology Support Program(2013BAK02B01) ; Chinese Academy of Sciences, Beijing, China(KGZD-EW-102-2) ; Authenmetric Research and Development Funds ; 61375037 ; 61473291)
WOS Research AreaEngineering
WOS SubjectEngineering, Electrical & Electronic
WOS IDWOS:000378507600004
Citation statistics
Cited Times:4[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/12035
Collection模式识别国家重点实验室_生物识别与安全技术研究
Affiliation1.Huaqiao Univ, Coll Engn, Quanzhou 362021, Fujian, Peoples R China
2.Chinese Acad Sci, Ctr Biometr & Secur Res, Inst Automat, Beijing 100190, Peoples R China
3.Chinese Acad Sci, Natl Lab Pattern Recognit, Inst Automat, Beijing 100190, Peoples R China
Recommended Citation
GB/T 7714
Zhu, Jianqing,Liao, Shengcai,Li, Stan Z.. Multicamera Joint Video Synopsis[J]. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY,2016,26(6):1058-1069.
APA Zhu, Jianqing,Liao, Shengcai,&Li, Stan Z..(2016).Multicamera Joint Video Synopsis.IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY,26(6),1058-1069.
MLA Zhu, Jianqing,et al."Multicamera Joint Video Synopsis".IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY 26.6(2016):1058-1069.
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