Key observation selection-based effective video synopsis for camera network
文献类型：期刊论文
| 作者 | Zhu, Xiaobin; Liu, Jing ; Wang, Jinqiao; Lu, Hanqing
|
| 刊名 | MACHINE VISION AND APPLICATIONS
 |
| 出版日期 | 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 |
| 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. |
入库方式： OAI收割
来源：自动化研究所
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