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http://dx.doi.org/10.14372/IEMEK.2014.9.1.53

Multiple Object Tracking Using SIFT and Multi-Lateral Histogram  

Jun, Jung-Soo (Aero master Corporation)
Moon, Yong-Ho (Gyeongsang national University)
Ha, Seok-Wun (Gyeongsang national University)
Publication Information
IEMEK Journal of Embedded Systems and Applications / v.9, no.1, 2014 , pp. 53-59 More about this Journal
Abstract
In multiple object tracking, accurate detection for each of objects that appear sequentially and effective tracking in complicated cases that they are overlapped with each other are very important. In this paper, we propose a multiple object tracking system that has a concrete detection and tracking characteristics by using multi-lateral histogram and SIFT feature extraction algorithm. Especially, by limiting the matching area to object's inside and by utilizing the location informations in the keypoint matching process of SIFT algorithm, we advanced the tracking performance for multiple objects. Based on the experimental results, we found that the proposed tracking system has a robust tracking operation in the complicated environments that multiple objects are frequently overlapped in various of directions.
Keywords
Multiple object; Detection; Tracking; Multi-lateral histogram; SIFT;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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