Counting pedestrians in video sequences using trajectory clustering

被引:80
作者
Antonini, Gianluca [1 ]
Thiran, Jean Philippe [1 ]
机构
[1] Swiss Fed Inst Technol, Signal Proc Inst, CH-1015 Lausanne, Switzerland
关键词
D O I
10.1109/TCSVT.2006.879118
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 [电气工程]; 0809 [电子科学与技术];
摘要
In this paper, we propose the use of lustering methods for automatic counting of pedestrians in video sequences. As input, we consider the output of those detection/tracking systems that overestimate the number of targets. Clustering techniques are applied to the resulting trajectories in order to reduce the bias between the number of tracks and the real number of targets. The main hypothesis is that those trajectories belonging to the same human body are more similar than trajectories belonging to different individuals. Several data representations and different distance/similarity measures are proposed and compared, under a common hierarchical clustering framework, and both quantitative and qualitative results are presented.
引用
收藏
页码:1008 / 1020
页数:13
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