25 September 1998 Detecting and tracking dynamic objects in complex environments
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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.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Lingxiang Zhou, Lingxiang Zhou, Jilin Liu, Jilin Liu, Weikang Gu, Weikang Gu, } "Detecting and tracking dynamic objects in complex environments", Proc. SPIE 3545, International Symposium on Multispectral Image Processing (ISMIP'98), (25 September 1998); doi: 10.1117/12.323681; https://doi.org/10.1117/12.323681
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