A Novel Object Tracking Algorithm Based on Point Pattern Matching

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 poin...

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Bibliographic Details
Published in2009 Second International Symposium on Information Science and Engineering pp. 455 - 459
Main Authors Fan Mo, Haodong Pei, Shuying Li, Dan Li, Baorong Xie, Wei Zhou
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.12.2009
Subjects
Algorithm design and analysis
Biology computing
Computational efficiency
Computer vision
Information science
object tracking algorithm
Pattern analysis
Pattern matching
Physics
point pattern matching
Robustness
Target tracking
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Summary: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.
ISBN:1424463254
9781424463251
ISSN:2160-1283
DOI:10.1109/ISISE.2009.114