Hydra:: Multiple people detection and tracking using silhouettes

被引：65

作者：

Haritaoglu, I ^{[1
]}

Harwood, D ^{[1
]}

Davis, LS ^{[1
]}

机构：

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

来源：

SECOND IEEE WORKSHOP ON VISUAL SURVEILLANCE (VS'99), PROCEEDINGS | 1999年

关键词：

D O I：

10.1109/VS.1999.780263

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Hydra is a real-time system for detecting and tracking multiple: people when they appear in a group. We describe the computational models employed by Hydra to track multiple people before:, during and after occlusion. Hydra combines a silhouette tc-based shape model, a motion model, and correlation-based matching methods to classify whether or not a foreground region contains multiple people, and to segment the region into its constituent people and track them. Experimental results demonstrate robustness and real-time performance of the algorithm.

引用

页码：6 / 13

页数：8