한국방송∙미디어공학회:학술대회논문집 (Proceedings of the Korean Society of Broadcast Engineers Conference)
- 한국방송공학회 2012년도 하계학술대회
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- Pages.269-270
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- 2012
A Low Complexity, Descriptor-Less SIFT Feature Tracking System
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- 이혁재 (서울대학교)
- Fransioli, Brian (Seoul National University) ;
- Lee, Hyuk-Jae (Seoul National University)
- 발행 : 2012.07.05
초록
Features which exhibit scale and rotation invariance, such as SIFT, are notorious for expensive computation time, and often overlooked for real-time tracking scenarios. This paper proposes a descriptorless matching algorithm based on motion vectors between consecutive frames to find the geometrically closest candidate to each tracked reference feature in the database. Descriptor-less matching forgoes expensive SIFT descriptor extraction without loss of matching accuracy and exhibits dramatic speed-up compared to traditional, naive matching based trackers. Descriptor-less SIFT tracking runs in real-time on an Intel dual core machine at an average of 24 frames per second.
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