Video-based crowd counting with information entropy

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	Video-based crowd counting with information entropy
	Zhou PP(周培培); Ding QH(丁庆海); Luo HB(罗海波); Hou XL(侯幸林)
	2015
会议名称	27th Chinese Control and Decision Conference, CCDC 2015
会议日期	May 23-25, 2015
会议地点	Qingdao, China
关键词	Crowd counting Foreground detection Information Entropy (IE) Perspective normalization
页码	338-342
中文摘要	As a key indicator of safety, the number of persons in pubic venues is quite important. However, most algorithms require a burdensome training, which is far away from practical application. In this work, we introduce a counting approach with information entropy (IE). Without extracting features or tracking objects, this algorithm greatly simplifies the process of counting. Firstly, the moving objects are segmented by background subtraction. And then interested targets are normalized to avoid perspective effect. Finally, we compute the IE of the normalized images. In theory, the IE is proved to be approximately linear with the number of persons. However, considering the deviation from occlusion, perspective distortion, difference between pedestrians etc., we also make quadratic fitting for higher accuracy. The experimental results show that the accuracy of pedestrian number obtained by IE algorithm is higher than that of the previous research. So, the usage of IE in this field is efficient and practical. © 2015 IEEE.
收录类别	EI ; CPCI（ISTP）
产权排序	1
会议录	Proceedings of the 2015 27th Chinese Control and Decision Conference, CCDC 2015
会议录出版者	IEEE
会议录出版地	Piscataway, NJ, USA
语种	英语
ISBN号	978-1-4799-7016-2
WOS记录号	WOS:000375232900058
内容类型	会议论文
源URL	[http://ir.sia.cn/handle/173321/17206]
专题	沈阳自动化研究所_光电信息技术研究室
推荐引用方式 GB/T 7714	Zhou PP,Ding QH,Luo HB,et al. Video-based crowd counting with information entropy[C]. 见:27th Chinese Control and Decision Conference, CCDC 2015. Qingdao, China. May 23-25, 2015.