Share Email Print

Proceedings Paper

Detecting and tracking dynamic objects in complex environments
Author(s): Lingxiang Zhou; Jilin Liu; Weikang Gu
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

This paper presents a robust algorithm for detecting and tracking multiple targets in a long video sequence. What differentiate it from previous approaches are the complex environments, the unconstrained camera motion, as well as the comparatively short distance between the sensor and the targets. Firstly the background motion is estimated by a global LMedS algorithm, then on the compensated difference image a graph-like stochastic procedure is applied for tracking multiple moving objects. Real video experiments show its efficiency.

Paper Details

Date Published: 25 September 1998
PDF: 4 pages
Proc. SPIE 3545, International Symposium on Multispectral Image Processing (ISMIP'98), (25 September 1998); doi: 10.1117/12.323681
Show Author Affiliations
Lingxiang Zhou, Zhejiang Univ. (China)
Jilin Liu, Zhejiang Univ. (China)
Weikang Gu, Zhejiang Univ. (China)

Published in SPIE Proceedings Vol. 3545:
International Symposium on Multispectral Image Processing (ISMIP'98)
Ji Zhou; Anil K. Jain; Tianxu Zhang; Yaoting Zhu; Mingyue Ding; Jianguo Liu, Editor(s)

© SPIE. Terms of Use
Back to Top