Key observation selection-based effective video synopsis for camera network

CORC > 自动化研究所 > 中国科学院自动化研究所 > 模式识别国家重点实验室 > 图像与视频分析团队

	Key observation selection-based effective video synopsis for camera network
	Zhu, Xiaobin; Liu, Jing; Wang, Jinqiao; Lu, Hanqing
刊名	MACHINE VISION AND APPLICATIONS
	2014
卷号	25 期号:1 页码:145-157
关键词	Video synopsis Graph matching Camera network Video surveillance
英文摘要	Nowadays, tremendous amount of video is captured endlessly from increased numbers of video cameras distributed around the world. Since needless information is abundant in the raw videos, making video browsing and retrieval is inefficient and time consuming. Video synopsis is an effective way to browse and index such video, by producing a short video representation, while keeping the essential activities of the original video. However, video synopsis for single camera is limited in its view scope, while understanding and monitoring overall activity for large scenarios is valuable and demanding. To solve the above issues, we propose a novel video synopsis algorithm for partially overlapping camera network. Our main contributions reside in three aspects: First, our algorithm can generate video synopsis for large scenarios, which can facilitate understanding overall activities. Second, for generating overall activity, we adopt a novel unsupervised graph matching algorithm to associate trajectories across cameras. Third, a novel multiple kernel similarity is adopted in selecting key observations for eliminating content redundancy in video synopsis. We have demonstrated the effectiveness of our approach on real surveillance videos captured by our camera network.
WOS标题词	Science & Technology ; Technology
类目[WOS]	Computer Science, Artificial Intelligence ; Computer Science, Cybernetics ; Engineering, Electrical & Electronic
研究领域[WOS]	Computer Science ; Engineering
关键词[WOS]	RANDOM-WALKS ; IMAGE ; CLASSIFICATION ; RECOGNITION ; ASSOCIATION ; TRACKING ; MODELS
收录类别	SCI
语种	英语
WOS记录号	WOS:000330314100011
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/3359]
专题	自动化研究所_模式识别国家重点实验室_图像与视频分析团队
作者单位	Chinese Acad Sci, Inst Automat, NLPR, Beijing 100190, Peoples R China
推荐引用方式 GB/T 7714	Zhu, Xiaobin,Liu, Jing,Wang, Jinqiao,et al. Key observation selection-based effective video synopsis for camera network[J]. MACHINE VISION AND APPLICATIONS,2014,25(1):145-157.
APA	Zhu, Xiaobin,Liu, Jing,Wang, Jinqiao,&Lu, Hanqing.(2014).Key observation selection-based effective video synopsis for camera network.MACHINE VISION AND APPLICATIONS,25(1),145-157.
MLA	Zhu, Xiaobin,et al."Key observation selection-based effective video synopsis for camera network".MACHINE VISION AND APPLICATIONS 25.1(2014):145-157.