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Y. Su, et al., “Surveillance Video Sequence Segmentation Based on Moving Object Detection,” 2009 Second International Workshop on Computer Science and Engineering, Qingdao, 28-30 October 2009, pp. 534-537.

has been cited by the following article:

• TITLE: Detection of Objects in Motion—A Survey of Video Surveillance

  AUTHORS: Jamal Raiyn

  KEYWORDS: Video Surveillance; Object Detection; Image Analysis

  JOURNAL NAME: Advances in Internet of Things, Vol.3 No.4, September 18, 2013

  ABSTRACT: Video surveillance system is the most important issue in homeland security field. It is used as a security system because of its ability to track and to detect a particular person. To overcome the lack of the conventional video surveillance system that is based on human perception, we introduce a novel cognitive video surveillance system (CVS) that is based on mobile agents. CVS offers important attributes such as suspect objects detection and smart camera cooperation for people tracking. According to many studies, an agent-based approach is appropriate for distributed systems, since mobile agents can transfer copies of themselves to other servers in the system.