IPSJ Transactions on Computer Vision and Applications
Online ISSN : 1882-6695
ISSN-L : 1882-6695
Fast and Accurate Object Detection Based on Binary Co-occurrence Features
Mitsuru AmbaiTaketo KimuraChiori Sakai
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2015 Volume 7 Pages 55-58

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Abstract

In this paper, we propose a fast and accurate object detection algorithm based on binary co-occurrence features. In our method, co-occurrences of all the possible pairs of binary elements in a block of binarized HOG are enumerated by logical operations, i.g. circular shift and XOR. This resulted in extremely fast co-occurrence extraction. Our experiments revealed that our method can process a VGA-size image at 64.6fps, that is two times faster than the camera frame rate (30fps), on only a single core of CPU (Intel Core i7-3820 3.60GHz), while at the same time achieving a higher classification accuracy than original (real-valued) HOG in the case of a pedestrian detection task.

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© 2015 by the Information Processing Society of Japan
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