DocumentCode :
190953
Title :
An optimized target tracking algorithm of online boosting
Author :
Zhu Liang-yi ; Wang Qing ; Zhu Rui ; Lu Dan
Author_Institution :
Dept. of Comput. Sci. & Eng., Northwestern Polytech. Univ., Xi´an, China
fYear :
2014
fDate :
5-8 Aug. 2014
Firstpage :
450
Lastpage :
455
Abstract :
On the basis of online boosting algorithm, this paper presents an optimized target tracking algorithm. Now, the commonly-used tracking algorithm usually tracks the targets as a whole, thus facing great difficulty in realizing effective tracking while the target is severely shielded. In order to surmount the difficulties resulting from shielding, this paper puts forward block-based target tracking algorithm that splits the target into several parts and then locates the target through summing up the tracking results of every part. To meet the changes of target appearance in tracking process, this paper brings forth block-based target tracking algorithm of online boosting in combination with block-based thinking and online boosting framework. The experimental results illustrate that this algorithm has upgraded tracking robustness and accuracy.
Keywords :
target tracking; block-based target tracking; block-based thinking; online boosting; optimized target tracking algorithm; Boosting; Classification algorithms; Feature extraction; Heuristic algorithms; Object detection; Signal processing algorithms; Target tracking; block algorithm; online boosting algorithm; strong classifier; visual tracking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing, Communications and Computing (ICSPCC), 2014 IEEE International Conference on
Conference_Location :
Guilin
Print_ISBN :
978-1-4799-5272-4
Type :
conf
DOI :
10.1109/ICSPCC.2014.6986234
Filename :
6986234
Link To Document :
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