A Tracking Algorithm to Certain People Using Recognition of Face and Cloth Color and Motion Analysis with Moving Energy in CCTV


The KIPS Transactions:PartB , Vol. 15, No. 3, pp. 197-204, Jun. 2008
10.3745/KIPSTB.2008.15.3.197,   PDF Download:

Abstract

It is well known that the tracking a certain person is a vary needed technic in the humanoid robot. In robot technic, we should consider three aspects that is cloth color matching, face recognition and motion analysis. Because a robot technic use some sensors, it is many different with the robot technic to track a certain person through the CCTV images. A system speed should be fast in CCTV images, hence we must have small calculation numbers. We need the statistical variable for color matching and we adapt the eigen-face for face recognition to speed up the system. In this situation, motion analysis have to added for the propose of the efficient detecting system. But, in many motion analysis systems, the speed and the recognition rate is low because the system operates on the all image area. In this paper, we use the moving energy only on the face area which is searched when the face recognition is processed, since the moving energy has low calculation numbers. When the proposed algorithm has been compared with Girondel, V. et al's method for experiment, we obtained same recognition rate as Girondel, V., the speed of the proposed algorithm was the more faster. When the LDA has been used, the speed was same and the recognition rate was better than Girondel, V.'s method, consequently the proposed algorithm is more efficient for tracking a certain person.


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Cite this article
[IEEE Style]
I. J. Lee, "A Tracking Algorithm to Certain People Using Recognition of Face and Cloth Color and Motion Analysis with Moving Energy in CCTV," The KIPS Transactions:PartB , vol. 15, no. 3, pp. 197-204, 2008. DOI: 10.3745/KIPSTB.2008.15.3.197.

[ACM Style]
In Jung Lee. 2008. A Tracking Algorithm to Certain People Using Recognition of Face and Cloth Color and Motion Analysis with Moving Energy in CCTV. The KIPS Transactions:PartB , 15, 3, (2008), 197-204. DOI: 10.3745/KIPSTB.2008.15.3.197.