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题名: Video-based crowd counting with information entropy
作者: 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: 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
出版日期: 2015
页码: 338-342
收录类别: EI ; CPCI(ISTP)
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
产权排序: 1
WOS记录号: WOS:000375232900058
Citation statistics:
内容类型: 会议论文
URI标识: http://ir.sia.cn/handle/173321/17206
Appears in Collections:光电信息技术研究室_会议论文

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Recommended Citation:
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.
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