Title :
Tracking Human Arm from Monocular Videos
Author :
Yue, Hongqiang ; Li, Chengrong ; Liang, YiXiong ; Luo, Yangyu
Author_Institution :
Chinese Acad. of Sci., Beijing
Abstract :
In this paper, we present a modified annealed particle filter which combines the annealed particle filter (proposed in [1], APF) with kinematic Jump Processes (proposed in [3], KJP), termed as APF+KJP. Compared with particle filter, the APF can make the particles more possibly converge to the global minimum, so the particles in APF are centralized with higher weight, while the KJP diffuse particles according to kinematical reasoning, samples found by KJP share the same projection on the image plane with the original sample and obtain the same weight. So the APF+KJP can effectively find particles with higher weight. Besides when the tracker find the incorrect global minimal, the KJP can help the tracker converge to the correct one. Experimental results demonstrate the performance of the proposed algorithm.
Keywords :
computer vision; gait analysis; image motion analysis; image sampling; optical tracking; particle filtering (numerical methods); video signal processing; annealed particle filter; computer vision; human motion analysis; kinematic jump process; kinematical reasoning; monocular video; visual human arm tracking; Annealing; Automation; Humans; Image converters; Image edge detection; Kinematics; Particle filters; Particle tracking; Robustness; Videos; Annealed Particle Filter; Computer Vision; Human Arm Tracking; Visual Tracking;
Conference_Titel :
Mechatronics and Automation, 2007. ICMA 2007. International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4244-0828-3
Electronic_ISBN :
978-1-4244-0828-3
DOI :
10.1109/ICMA.2007.4303885
