文章基本信息

标题：Real-Time Apartment Building Detection and Tracking with AdaBoost Procedure and Motion-Adjusted Tracker
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作者：Hu, Yi ; Jang, Dae-Sik ; Park, Jeong-Ho 等
期刊名称：ETRI Journal
印刷版ISSN：1225-6463
电子版ISSN：2233-7326
出版年度：2008
卷号：30
期号：2
页码：338-340
语种：English
出版社：Electronics and Telecommunications Research Institute
摘要：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.
关键词：Video-based navigation systems;building detection and tracking;AdaBoost classifier;motion-adjusted tracker