Detection of people carrying objects : a motion-based recognition approach

被引：23

作者：

BenAbdelkader, C ^{[1
]}

Davis, L ^{[1
]}

机构：

[1] Univ Maryland, Comp Vis Lab, College Pk, MD 20742 USA

来源：

FIFTH IEEE INTERNATIONAL CONFERENCE ON AUTOMATIC FACE AND GESTURE RECOGNITION, PROCEEDINGS | 2002年

关键词：

D O I：

10.1109/AFGR.2002.1004183

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

We describe a method to detect instances of a walking person carrying an object seen from a stationary camera. We take a correspondence-free motion-based recognition approach, that exploits known shape and periodicity cues of the human silhouette shape. Specifically, we subdivide the binary silhouette into four horizontal segments, and analyze the temporal behavior of the bounding box width over each segment. We posit that the periodicity and amplitudes of these time series satisfy certain criteria for a natural walking person, and deviations therefrom are an indication that the person might be carrying an object. The method is tested on 41 360x240 color outdoor sequences of people walking and carrying objects at various poses and camera viewpoints. A correct detection rate of 85% and a false alarm rate of 12% are obtained.

引用

页码：378 / 383

页数：6