Title :
An Automatic Pedestrian Detection and Tracking Method: Based on MACH and Particle Filter
Author :
Han, Qiulei ; Yao, Zhijun
Author_Institution :
Nat. Supervision & Test Center for Opt. Mech. Quality, Chinese Acad. of Sci., Changchun, China
Abstract :
This paper introduces a pedestrian detecting and tracking approach. Correlation filters present the composite properties which have been successively used in target detection. Particle filter are combined to locate the targets in real-time. Our contribution is proposing a general algorithm that is able to detect and track pedestrians in clutter environments. We also create a different view pedestrian dataset. Experiments show our algorithm is comparative when there is block and occlusion in tracking.
Keywords :
clutter; computer graphics; correlation methods; image motion analysis; particle filtering (numerical methods); target tracking; MACH; automatic pedestrian detection; clutter environment; correlation filter; occlusion; particle filter; pedestrian dataset; pedestrian tracking method; target detection; target location; Correlation; Filtering algorithms; Maximum likelihood detection; Nonlinear filters; Optical filters; Particle filters; Target tracking; MACH filter; Particle filter; pedestrian detection; tracking;
Conference_Titel :
Network Computing and Information Security (NCIS), 2011 International Conference on
Conference_Location :
Guilin
Print_ISBN :
978-1-61284-347-6
DOI :
10.1109/NCIS.2011.84
