Articulated human body parts detection based on cluster background subtraction and foreground matching

作者：Bhaskar Harish^*; Mihaylova Lyudmila; Maskell Simon

来源：Neurocomputing, 2013, 100: 58-73.

DOI：10.1016/j.neucom.2011.12.039

• Human target tracking
• Background subtraction
• Optimisation
• Genetic algorithm
• Pictorial structures

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.

• 出版日期2013-1-16