چکیده (انگلیسی):

This study relates to a method for determining the position variation (for example a moving object, facial
gesture tracking) using markers. The movement is determined based on the periodic frames captured using a
camera. The experimental results show that this algorithm can accurately segment human movements from
complex background and can greatly reduce the computational workload with less storage memory, good
robustness and improved accuracy. Thus, this algorithm can be pragmatically applied to video surveillance,
motion assisted device control for critically disabled persons, Man Machine Interface, humanoid applications.