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Application of Flexible Edge Matching Algorithm in the Field of Moving Object Detection



Moving object detection is an important branch and foundation of computer vision; it has extensive application prospects in many fields, such as, traffic, military application, industries and bio-medical, et al, and becomes a hot research topic in computer vision field. Because of its inherent complexity, moving object detection still faces lots of challenges. In this paper, based on the existing research achievements, the methods of moving object detection in dynamic environment are studied deeply, a knowledge-based flexible edge matching algorithm is put forward. The effectiveness of the proposed matching algorithm in moving object detection is also demonstrated. The research results here can be provided as the reference for target detection and tracking and some other applications.



Total Pages: 9
Pages: 515-523


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Volume: 20
Issue: 4
Year: 2014

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ISSN PRINT: 1079-8587
ISSN ONLINE: 2326-005X
DOI PREFIX: 10.31209
10.1080/10798587 with T&F
IMPACT FACTOR: 0.652 (2017/2018)

SJR: "The two years line is equivalent to journal impact factor ™ (Thomson Reuters) metric."

Journal: 1995-Present


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