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题名: Flow Mosaicking: Real-time Pedestrian Counting without Scene-specific Learning
作者: Cong Y(丛杨) ; Gong HF(龚海峰) ; Zhu SC(朱松纯) ; Tang YD(唐延东)
作者部门: 机器人学研究室
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
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
出版日期: 2009
页码: 1093-1100
收录类别: CPCI(ISTP) ; EI
ISSN号: 1063-6919
ISBN号: 978-1-4244-3992-8
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.
语种: 英语
产权排序: 1
内容类型: 会议论文
URI标识: http://ir.sia.cn/handle/173321/8717
Appears in Collections:机器人学研究室_会议论文

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Recommended Citation:
丛杨; 龚海峰; 朱松纯; 唐延东.Flow Mosaicking: Real-time Pedestrian Counting without Scene-specific Learning.见:IEEE .CVPR: 2009 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, VOLS 1-4,NEW YORK,2009,1093-1100
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