Real-time Hausdorff Matching Algorithm for Tracking of Moving Object


The KIPS Transactions:PartB , Vol. 9, No. 6, pp. 707-714, Dec. 2002
10.3745/KIPSTB.2002.9.6.707,   PDF Download:

Abstract

This paper presents a real-time Hausdorff matching algorithm for tracking of moving object acquired from an active camera. The proposed method uses the edge image of object as its model and uses Hausdorff distance as the cost function to identify hypothesis with the model. To enable real-time processing, a high speed approach to calculate Hausdorff distance and half cross matching method to improve performance of existing search methods are also presented. the experimental results demonstrate that the proposed method can accurately track moving object in real-time.


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Cite this article
[IEEE Style]
Q. Chun and J. S. Lee, "Real-time Hausdorff Matching Algorithm for Tracking of Moving Object," The KIPS Transactions:PartB , vol. 9, no. 6, pp. 707-714, 2002. DOI: 10.3745/KIPSTB.2002.9.6.707.

[ACM Style]
Quan Chun and Joo Shin Lee. 2002. Real-time Hausdorff Matching Algorithm for Tracking of Moving Object. The KIPS Transactions:PartB , 9, 6, (2002), 707-714. DOI: 10.3745/KIPSTB.2002.9.6.707.