Proceedings of the IEEK Conference (대한전자공학회:학술대회논문집)
- 2009.05a
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- Pages.408-410
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- 2009
Enhanced Representation for Object Tracking
물체 추적을 위한 강화된 부분공간 표현
- Published : 2009.05.07
Abstract
We present an efficient and robust measurement model for visual tracking. This approach builds on and extends work on subspace representations of measurement model. Subspace-based tracking algorithms have been introduced to visual tracking literature for a decade and show considerable tracking performance due to its robustness in matching. However the measures used in their measurement models are often restricted to few approaches. We propose a novel measure of object matching using Angle In Feature Space, which aims to improve the discriminability of matching in subspace. Therefore, our tracking algorithm can distinguish target from similar background clutters which often cause erroneous drift by conventional Distance From Feature Space measure. Experiments demonstrate the effectiveness of the proposed tracking algorithm under severe cluttered background.