Title :
Visual Hand Tracking Using MDSA Method
Author :
Liang, Wei ; Jia, Yunde ; Sun, Fuchun ; Ning, Bing ; Liu, Tangli ; Wu, Xinxiao
Author_Institution :
Dept. of Comput. Sci. & Eng., Beijing Inst. of Technol., Beijing
Abstract :
Hand tracking is a challenging problem due to the complexity of searching in a 20+ degrees of freedom (DOF) space for an optimal estimation of hand configuration. This paper represents a MDSA method (multi-directional search with simulated annealing) to obtain the best matching hand configurations. It uses an extended simulated annealing method (SA) with particle filter to search for optimal hand configurations in a discrete space, in which simplex search running in multi-processor (MD) is designed to predict the hand motion instead of initializing the simulated annealing randomly. The experimental results show that this method makes the hand tracking more efficient and robust.
Keywords :
gesture recognition; image matching; motion estimation; particle filtering (numerical methods); search problems; simulated annealing; tracking; discrete space; image matching; multidirectional search method; multiprocessor system; optimal hand configuration estimation; particle filter; simplex search; simulated annealing; visual hand motion tracking; Bones; Fingers; Humans; Particle filters; Predictive models; Simulated annealing; Space technology; Systems engineering and theory; Tracking; Wrist; hand tracking; simplex search; simulated annealing;
Conference_Titel :
Computational Engineering in Systems Applications, IMACS Multiconference on
Conference_Location :
Beijing
Print_ISBN :
7-302-13922-9
Electronic_ISBN :
7-900718-14-1
DOI :
10.1109/CESA.2006.4281659
