GPU implementations of object detection using HOG features and deformable models

Manato Hirabayashi, Shinpei Kato, Masato Edahiro, Kazuya Takeda, Taiki Kawano, Seiichi Mita

Research output: Chapter in Book/Report/Conference proceedingConference contribution

19 Citations (Scopus)

Abstract

Vision-based object detection using camera sensors is an essential piece of perception for autonomous vehicles. Various combinations of features and models can be applied to increase the quality and the speed of object detection. A well-known approach uses histograms of oriented gradients (HOG) with deformable models to detect a car in an image [15]. A major challenge of this approach can be found in computational cost introducing a real-time constraint relevant to the real world. In this paper, we present an implementation technique using graphics processing units (GPUs) to accelerate computations of scoring similarity of the input image and the pre-defined models. Our implementation considers the entire program structure as well as the specific algorithm for practical use. We apply the presented technique to the real-world vehicle detection program and demonstrate that our implementation using commodity GPUs can achieve speedups of 3x to 5x in frame-rate over sequential and multithreaded implementations using traditional CPUs.

Original languageEnglish
Title of host publication2013 IEEE 1st International Conference on Cyber-Physical Systems, Networks, and Applications, CPSNA 2013
PublisherIEEE Computer Society
Pages106-111
Number of pages6
ISBN (Print)9781479907984
DOIs
Publication statusPublished - 2013
Externally publishedYes
Event2013 IEEE 1st International Conference on Cyber-Physical Systems, Networks, and Applications, CPSNA 2013 - Taipei, Taiwan, Province of China
Duration: 2013 Aug 192013 Aug 20

Publication series

Name2013 IEEE 1st International Conference on Cyber-Physical Systems, Networks, and Applications, CPSNA 2013

Conference

Conference2013 IEEE 1st International Conference on Cyber-Physical Systems, Networks, and Applications, CPSNA 2013
CountryTaiwan, Province of China
CityTaipei
Period13/8/1913/8/20

Keywords

  • Computer Vision
  • GPGPU
  • Object Detection

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications

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  • Cite this

    Hirabayashi, M., Kato, S., Edahiro, M., Takeda, K., Kawano, T., & Mita, S. (2013). GPU implementations of object detection using HOG features and deformable models. In 2013 IEEE 1st International Conference on Cyber-Physical Systems, Networks, and Applications, CPSNA 2013 (pp. 106-111). [6614255] (2013 IEEE 1st International Conference on Cyber-Physical Systems, Networks, and Applications, CPSNA 2013). IEEE Computer Society. https://doi.org/10.1109/CPSNA.2013.6614255