DocumentCode :
3114279
Title :
A new target tracking method based on image patches
Author :
Nan Yao ; Zhong-Hua Liu ; Feng Qian
Author_Institution :
Dept. of Instrum. Eng., Shanghai Jiao Tong Univ., Shanghai, China
Volume :
02
fYear :
2013
fDate :
14-17 July 2013
Firstpage :
865
Lastpage :
870
Abstract :
Target representation has great influence on the results of object tracking algorithms. This paper presents a new approach for target representation that applies image patches extracted from image sequences to target detection phase. In this approach, the initial image frame is split into small image patches, which are quantized and clustered to form a texture dictionary. Instead of using the statistical characteristics of image pixels, we propose a new target representation method by using the texton histogram features. T hen, particle filter algorithm is used to complete the tracking procedure. Experimental results show that our method is rational and effective.
Keywords :
image representation; image sequences; object tracking; particle filtering (numerical methods); target tracking; histogram features; image patches; image pixels; image sequences; object tracking algorithms; particle filter algorithm; statistical characteristics; target detection phase; target representation; target tracking method; texture dictionary; Abstracts; Image segmentation; Target tracking; Yttrium; Image patches; Particle filter; Target representation; Target tracking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2013 International Conference on
Conference_Location :
Tianjin
Type :
conf
DOI :
10.1109/ICMLC.2013.6890405
Filename :
6890405
Link To Document :
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