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학술지 Real-Time Apartment Building Detection and Tracking with AdaBoost Procedure and Motion-Adjusted Tracker
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저자
Yi, Hu, 장대식, 박정호, 조성익, 이창우
발행일
200804
출처
ETRI Journal, v.30 no.2, pp.338-340
ISSN
1225-6463
출판사
한국전자통신연구원 (ETRI)
DOI
https://dx.doi.org/10.4218/etrij.08.0207.0187
협약과제
07MD1900, 텔레매틱스용 실감컨텐츠 구축/관리 기술 개발, 조성익
초록
In this letter, we propose a novel approach to detecting and tracking apartment buildings for the development of a video-based navigation system mat provides augmented reality representation of guidance information on live video sequences. For this, we propose a building detector and tracker. The detector is based on the AdaBoost classifier followed by hierarchical clustering The classifier uses modified Haar-like features as the primitives. The tracker is a motion-adjusted tracker based on pyramid implementation of the Lukas-Kanade tracker, which periodically confirms and consistently adjusts the tracking region. Experiment show that the proposed approach yields robust and reliable results and is far superior to conventional approaches.
키워드
AdaBoost classifier, Building detection and tracking, Motion-adjusted tracker, Video-based navigation systems
KSP 제안 키워드
AdaBoost Classifier, Apartment building, Augmented reality(AR), Building Detection, Detection and tracking, Haar-Like features, Hierarchical Clustering, Novel approach, Real-Time, live video, navigation system