期刊
NEUROCOMPUTING
卷 100, 期 -, 页码 58-73出版社
ELSEVIER
DOI: 10.1016/j.neucom.2011.12.039
关键词
Human target tracking; Background subtraction; Optimisation; Genetic algorithm; Pictorial structures
资金
- UK MOD Data and Information Fusion Defence Technology Centre [DIFDTC/CSIPC1/02]
Detecting people or other articulated objects and localising their body parts is a challenging computer vision problem as their movement is unpredictable under circumstances of partial and full occlusions. In this paper, a framework for human body parts tracking in video sequences using a self-adaptive cluster background subtraction (CBS) scheme is proposed based on a Gaussian mixture model (GMM) and foreground matching with rectangular pictorial structures. The efficiency of the designed human body parts tracking framework is illustrated over various real-world video sequences. (C) 2012 Elsevier By. All rights reserved.
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