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Journal Article
Real-Time Apartment Building Detection and Tracking with AdaBoost Procedure and Motion-Adjusted Tracker
- Authors
- Yi Hu, Dae Sik Jang, Jeong Ho Park, Seong Ik Cho, Chang Woo Lee
- Issue Date
- 2008-04
- Citation
- ETRI Journal, v.30, no.2, pp.338-340
- ISSN
- 1225-6463
- Publisher
- 한국전자통신연구원 (ETRI)
- Language
- English
- Type
- Journal Article
- Abstract
- 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 Keywords
- AdaBoost Classifier, Apartment building, Augmented reality(AR), Detection and tracking, Live video, Novel approach, Real-time, Video sequences, building detection, haar-like features, hierarchical Clustering