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Training a multi-exit cascade with linear asymmetric classification for efficient object detection

Wang, Peng; Shen, Chunhua; Zheng, Hong; Ren, Zhang


Efficient visual object detection is of central interest in computer vision and pattern recognition due to its wide ranges of applications. Viola and Jones'detector has become a de facto framework [1]. In this work, we propose a new method to design a cascade of boosted classifiers for fast object detection, which combines linear asymmetric classification (LAC) into the recent multi-exit cascade structure. Therefore, the proposed method takes advantages of both LAC and the multi-exit cascade....[Show more]

CollectionsANU Research Publications
Date published: 2010
Type: Conference paper
Source: Proceedings of IEEE International Conference on Image Processing 2010
DOI: 10.1109/ICIP.2010.5651599


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