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Computers 2018, 7(1), 18; https://doi.org/10.3390/computers7010018

A New Method of Histogram Computation for Efficient Implementation of the HOG Algorithm

1
Department of Electronics, Telecommunications and IT, University Politehnica Bucharest, Bucharest 060042, Romania
2
Department of Automatics and Computer Science, University Politehnica Bucharest, Bucharest 060042, Romania
This paper is an extended version of our paper published in the 9th Computer Science & Electronic Engineering Conference (CEEC), Colchester, UK, 27–29 September 2017.
*
Author to whom correspondence should be addressed.
Received: 5 January 2018 / Revised: 11 February 2018 / Accepted: 27 February 2018 / Published: 1 March 2018
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Abstract

In this paper we introduce a new histogram computation method to be used within the histogram of oriented gradients (HOG) algorithm. The new method replaces the arctangent with the slope computation and the classical magnitude allocation based on interpolation with a simpler algorithm. The new method allows a more efficient implementation of HOG in general, and particularly in field-programmable gate arrays (FPGAs), by considerably reducing the area (thus increasing the level of parallelism), while maintaining very close classification accuracy compared to the original algorithm. Thus, the new method is attractive for many applications, including car detection and classification. View Full-Text
Keywords: HOG; histogram computation; SVM; classification; efficient implementation; algorithm optimization; arctangent; FPGA; autonomous vehicle; driver assistance systems HOG; histogram computation; SVM; classification; efficient implementation; algorithm optimization; arctangent; FPGA; autonomous vehicle; driver assistance systems
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
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Ilas, M.-E.; Ilas, C. A New Method of Histogram Computation for Efficient Implementation of the HOG Algorithm. Computers 2018, 7, 18.

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