ETRI Journal
- Volume 30 Issue 2
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- Pages.338-340
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- 2008
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- 1225-6463(pISSN)
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- 2233-7326(eISSN)
Real-Time Apartment Building Detection and Tracking with AdaBoost Procedure and Motion-Adjusted Tracker
- Hu, Yi (Department of Computer Information Engineering, Kunsan National University, School of Electrical Engineering, Korea University) ;
- Jang, Dae-Sik (Department of Computer Information Engineering, Kunsan National University) ;
- Park, Jeong-Ho (IT Convergence Technology Research Laboratory, ETRI) ;
- Cho, Seong-Ik (IT Convergence Technology Research Laboratory, ETRI) ;
- Lee, Chang-Woo (Department of Computer Information Engineering, Kunsan National University)
- Received : 2007.08.22
- Published : 2008.04.30
Abstract
In this letter, we propose a novel approach to detecting and tracking apartment buildings for the development of a video-based navigation system that 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. Experiments show that the proposed approach yields robust and reliable results and is far superior to conventional approaches.
Keywords
- Video-based navigation systems;
- building detection and tracking;
- AdaBoost classifier;
- motion-adjusted tracker