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http://dx.doi.org/10.5370/JEET.2015.10.3.1227

Cascade Selective Window for Fast and Accurate Object Detection  

Zhang, Shu (School of Electronic Engineering, University of Electronic Science and Technology of China)
Cai, Yong (School of Electronic Engineering, University of Electronic Science and Technology of China)
Xie, Mei (School of Electronic Engineering, University of Electronic Science and Technology of China)
Publication Information
Journal of Electrical Engineering and Technology / v.10, no.3, 2015 , pp. 1227-1232 More about this Journal
Abstract
Several works help make sliding window object detection fast, nevertheless, computational demands remain prohibitive for numerous applications. This paper proposes a fast object detection method based on three strategies: cascade classifier, selective window search and fast feature extraction. Experimental results show that the proposed method outperforms the compared methods and achieves both high detection precision and low computation cost. Our approach runs at 17ms per frame on 640×480 images while attaining state-of-the-art accuracy.
Keywords
Object detection; Cascade; Adaboost; Selective window search;
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