期刊名称：International Journal of Image Processing (IJIP)
电子版ISSN：1985-2304
出版年度：2010
卷号：4
期号：1
页码：24-34
出版社：Computer Science Journals
摘要：a broad range of applications. Moving object classification in the field of video surveillance is a key component of smart surveillance software. In this paper, we have proposed reliable software with its large features for people, vehicle and object classification which works well in challenging real-world constraints, including the presence of shadows, low resolution imagery, occlusion, perspective distortions, arbitrary camera viewpoints, and groups of people. We have discussed a generic model of smart video surveillance systems that can meet requirements of strong commercial applications and also shown the implication of the software for the security purposes which made the whole system as a smart network. Smart surveillance systems use automatic image understanding techniques to extract information from the surveillance data.
