Detecting and tracking dynamic objects in complex environments

Lingxiang Zhou; Jilin Liu; Weikang Gu

doi:10.1117/12.323681

25 September 1998 Detecting and tracking dynamic objects in complex environments

Lingxiang Zhou, Jilin Liu, Weikang Gu

Proceedings Volume 3545, International Symposium on Multispectral Image Processing (ISMIP'98); (1998) https://doi.org/10.1117/12.323681
Event: International Symposium on Multispectral Image Processing, 1998, Wuhan, China

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.

Citation Download Citation

Lingxiang Zhou, Jilin Liu, and Weikang Gu "Detecting and tracking dynamic objects in complex environments", Proc. SPIE 3545, International Symposium on Multispectral Image Processing (ISMIP'98), (25 September 1998); https://doi.org/10.1117/12.323681

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available