DocumentCode
2216093
Title
Video object tracking based on position prediction guide CAMSHIFT
Author
Ling, Yun ; Zhang, Jianxiang ; Xing, Jianguo
Author_Institution
Coll. of Comput. & Inf. Eng., Zhejiang Gongshang Univ., Hangzhou, China
Volume
1
fYear
2010
fDate
20-22 Aug. 2010
Abstract
In this article, a novel algorithm-position prediction guide continuously adaptive mean shift procedure (CAMSHIFT)-is proposed for tracking objects in video sequences. CAMSHIFT is incorporated with the position prediction algorithm makes the scale adaptation of CAMSHIFT is improved, tracking efficiency increased and the computation complexity is reduced. Preliminary experimental results show the algorithm performs well. Meanwhile, the algorithm success in indicating new objects appeared; objects disappeared; objects collisions and the consistency of the objects in consecutive sequences.
Keywords
computational complexity; navigation; object detection; tracking; video signal processing; CAMSHIFT; computation complexity; continuously adaptive mean shift procedure; object collisions; position prediction guide; scale adaptation; tracking efficiency; video object tracking; video sequences; CAMSHIFT; component; position prediction;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Computer Theory and Engineering (ICACTE), 2010 3rd International Conference on
Conference_Location
Chengdu
ISSN
2154-7491
Print_ISBN
978-1-4244-6539-2
Type
conf
DOI
10.1109/ICACTE.2010.5579041
Filename
5579041
Link To Document