Physics-based modelling of human motion using kalman filter and collision avoidance algorithm

被引：9

作者：

Perse, M ^{[1
]}

Pers, J ^{[1
]}

Kristan, M ^{[1
]}

Kovacic, S ^{[1
]}

机构：

[1] Univ Ljubljana, Fac Elect Engn, SI-1000 Ljubljana, Slovenia

来源：

ISPA 2005: PROCEEDINGS OF THE 4TH INTERNATIONAL SYMPOSIUM ON IMAGE AND SIGNAL PROCESSING AND ANALYSIS | 2005年

关键词：

D O I：

10.1109/ISPA.2005.195432

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The paper deals with the problem of computer vision based multi-person motion tracking, which in many cases suffers from lack of discriminating features of observed persons. To solve this problem, a physics based model of human motion is proposed, which includes intertial forces of the persons by the means of the Kalman filter and the cylindrical envelopes, which produce collision avoiding forces when observed persons come to close proximity. We tested the proposed method on two sequences, one from squash match, and the other from the basketball play and found out that the number of tracker mistakes significantly decreased.

引用

下载

页码：328 / 333

页数：6

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