CASIA OpenIR  > 模式识别国家重点实验室  > 图像与视频分析
OBJECT-CENTERED NARRATIVES FOR VIDEO SURVEILLANCE
Fu, Wei; Wang, Jinqiao; Zhao, Chaoyang; Lu, Hanqing; Ma, Songde
2012
Conference Name2012 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP 2012)
Source PublicationInternational Conference on Image Processing (ICIP)
Pages29-32
Conference Date2012
Conference PlaceLake Buena Vista (Orlando), Florida, USA
AbstractEffective video presentation and summarization techniques
are critical for fast browsing of video content. In this paper,
we propose a novel presentation approach to vividly depict
the moving process of a specific object in a surveillance
video, which aims at effectively summarizing video content
by a static image named narrative. Firstly, the object of interest
is extracted and segmented from the video to form a
spatio-temporal object tube. Then three criteria are proposed
to select the most representative objects from this tube. We
formulate the object selecting process as an energy minimization
problem, in which each energy term measures a corresponding
criterion cost. We maximally preserve the changes
of appearance and behavior while remove other redundant
content as much as possible. Finally, the selected representative
objects are stitched to the background image by Poisson
editing. Experimental results show the promise of the proposed
approach.
KeywordObject-centered Narratives Video Surveillance
Indexed ByCPCI-T
Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/4661
Collection模式识别国家重点实验室_图像与视频分析
Corresponding AuthorWang, Jinqiao
Recommended Citation
GB/T 7714
Fu, Wei,Wang, Jinqiao,Zhao, Chaoyang,et al. OBJECT-CENTERED NARRATIVES FOR VIDEO SURVEILLANCE[C],2012:29-32.
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