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Flow Mosaicking: Real-time Pedestrian Counting without Scene-specific Learning

文献类型:会议论文

作者Cong Y(丛杨); Gong HF(龚海峰); Zhu SC(朱松纯); Tang YD(唐延东)
出版日期2009
会议名称IEEE-Computer-Society Conference on Computer Vision and Pattern Recognition Workshops
会议日期June 20-25, 2009
会议地点Miami Beach, FL
页码1093-1100
中文摘要In this paper, we present a novel algorithm based on flow velocity field estimation to count the number of pedestrians across a detection line or inside a specified region. We regard pedestrians across the line as fluid flow, and design a novel model to estimate the flow velocity field. By integrating over time, the dynamic mosaics are constructed to count the number of pixels and edges passed through the line. Consequentially, the number of pedestrians can be estimated by quadratic regression, with the number of weighted pixels and edges as input. The regressors are learned off line from several camera tilt angles, and have taken the calibration information into account. We use tilt-angle-specific learning to ensure direct deployment and avoid overfitting while the commonly used scene-specific learning scheme needs on-site annotation and always trends to overfitting. Experiments on a variety of videos verified that the proposed method can give accurate estimation under different camera setup in real-time.
收录类别EI ; CPCI(ISTP)
产权排序1
会议主办者IEEE Comp Soc
会议录CVPR: 2009 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, VOLS 1-4
会议录出版者IEEE
会议录出版地NEW YORK
语种英语
ISSN号1063-6919
ISBN号978-1-4244-3992-8
WOS记录号WOS:000279038000140
源URL[http://ir.sia.cn/handle/173321/8717]  
专题沈阳自动化研究所_机器人学研究室
推荐引用方式
GB/T 7714
Cong Y,Gong HF,Zhu SC,et al. Flow Mosaicking: Real-time Pedestrian Counting without Scene-specific Learning[C]. 见:IEEE-Computer-Society Conference on Computer Vision and Pattern Recognition Workshops. Miami Beach, FL. June 20-25, 2009.

入库方式: OAI收割

来源:沈阳自动化研究所

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