期刊名称：International Journal of Computer Science Issues
印刷版ISSN：1694-0784
电子版ISSN：1694-0814
出版年度：2012
卷号：9
期号：2
出版社：IJCSI Press
摘要：The proposed model represents a unique technique for detection and tracking multiple objects from a dense cluttered area like crowd by deploying greed algorithm. Understanding the complexity of deploying various image attributes e.g. edge, color etc, the proposed system will illustrate cost effective and robust procedure of using low-level attributes which takes very less computational time in order to produce autonomous rational mobility region as resultant. The technique also considers various difficult real-time scenarios in the dense crowd in order to design a highly cost effective algorithm. Performance analysis is carried out with different set of video sequences to find that proposed system has gradual robust detection rate as well as highly cost-effective computationally.
