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학술대회 An Efficient Tracking System Using Adaptive Approach for Online Feature Selection
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저자
정치윤, 한종욱
발행일
201210
출처
International Conference on Information and Communication Technology Convergence (ICTC) 2012, pp.763-764
DOI
https://dx.doi.org/10.1109/ICTC.2012.6387139
협약과제
12MG1400, 개인신변 안전보장을 위한 영상보안 기술개발, 한종욱
초록
Existing online feature selection algorithms have shown good performance in tracking objects. But, there is still issue in how to choose the optimal number of features. If there is a wide difference between object and background, the tracking system using a feature can shows a good performance. In contrast, many features are needed to increase the performance when there is uncertainty of object and background. Therefore, it is reasonable to dynamically switch the number of used feature to follow the object. In this paper, we propose an efficient tracking system using adaptive approach for online feature selection. © 2012 IEEE.
KSP 제안 키워드
Adaptive approach, Feature selection(FS), Feature selection algorithm, Online feature selection, Optimal number, Tracking System, Tracking objects