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

Volume

1

fYear

2011

fDate

14-15 May 2011

Firstpage

385

Lastpage

389

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Network Computing and Information Security (NCIS), 2011 International Conference on

Conference_Location

Guilin

Print_ISBN

978-1-61284-347-6

Type

conf

DOI

10.1109/NCIS.2011.84

Filename

5948754