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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)
作者部门光电信息技术研究室
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
会议录名称Proceedings of the 2015 27th Chinese Control and Decision Conference, CCDC 2015
出版者IEEE
出版地Piscataway, NJ, USA
2015
页码338-342
收录类别EI ; CPCI(ISTP)
EI收录号20154401482000
WOS记录号WOS:000375232900058
产权排序1
ISBN号978-1-4799-7016-2
关键词Crowd Counting Foreground Detection Information Entropy (Ie) Perspective Normalization
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.
语种英语
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被引频次:2[WOS]   [WOS记录]     [WOS相关记录]
文献类型会议论文
条目标识符http://ir.sia.cn/handle/173321/17206
专题光电信息技术研究室
作者单位1.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China
2.Key Laboratory of Opto-Electronic Information Processing, CAS, Shenyang, China
3.University of Chinese Academy of Sciences, Beijing, China
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]. Piscataway, NJ, USA:IEEE,2015:338-342.
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