상세정보
학술지
Real-Time Apartment Building Detection and Tracking with AdaBoost Procedure and Motion-Adjusted Tracker
- 발행일
- 200804
- 출처
- ETRI Journal, v.30 no.2, pp.338-340
- ISSN
- 1225-6463
- 출판사
- 한국전자통신연구원 (ETRI)
- 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.
- 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