Title :
A Novel Object Tracking Algorithm Based on Point Pattern Matching
Author :
Mo, Fan ; Pei, Haodong ; Li, Shuying ; Li, Dan ; Xie, Baorong ; Zhou, Wei
Author_Institution :
Shanghai Inst. of Tech. Phys., Chinese Acad. of Sci., Shanghai, China
Abstract :
This paper proposes a novel point pattern matching algorithm. Compared with most published works, the proposed algorithm is characterized by its outstanding real time performance, making it the only applicable algorithm for object tracking among the existing ones. Evolved with the definition of point pattern matching, analyzing the object tracking task, it presents a specific description of the novel algorithm. The experimental results validate its real time performance and robustness.
Keywords :
object detection; pattern matching; pointing systems; object tracking algorithm; point pattern matching algorithm; real time performance; Algorithm design and analysis; Biology computing; Computational efficiency; Computer vision; Information science; Pattern analysis; Pattern matching; Physics; Robustness; Target tracking; object tracking algorithm; point pattern matching;
Conference_Titel :
Information Science and Engineering (ISISE), 2009 Second International Symposium on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-6325-1
Electronic_ISBN :
978-1-4244-6326-8
DOI :
10.1109/ISISE.2009.114
