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Volume & Issue no: Volume 9, Issue 6, November - December 2020

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Title:
A histogram-refinement Histogram-of-Oriented-Gradient Object and Pedestrian Detector
Author Name:
Daniel Asher Mitchell, Harvey Barnett Mitchell
Abstract:
Abstract:The Histogram-of-Oriented-Gradient (HOG) is widelyused forobject and pedestrian detection. The basic idea of HOG is that theappearance of an object can be characterized by the spatial distribution of the intensity of the local gradients and their directions. In this article we describe a new HOG detectorin which we use the method of histogram refinement to split the traditional HOG vector into two complementary vectors which we subsequently fuse together. The new HOG has an enhanced performance but at the same time is fully compatible with the traditional HOG. Experimental results on the INRIA pedestrian detection database shows that for noisy input images the histogram-refined HOG significantly outperforms the traditional HOG detector.
Cite this article:
Daniel Asher Mitchell, Harvey Barnett Mitchell , " A histogram-refinement Histogram-of-Oriented-Gradient Object and Pedestrian Detector" , International Journal of Emerging Trends & Technology in Computer Science (IJETTCS) , Volume 9, Issue 6, November - December 2020 , pp. 027-031 , ISSN 2278-6856.
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International Journal of Emerging Trends & Technology in Computer Science (IJETTCS)
ISSN 2278-6856
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