NDLI: Real-time human detection using histograms of oriented gradients on a GPU

Content Provider	IEEE Xplore Digital Library
Author	Lillywhite, K. Dah-Jye Lee Dong Zhang
Copyright Year	2009
Description	Author affiliation: Sun Yat-sen University, Gaungzhou, Guangdong, 510275, China (Dong Zhang) \|\| Brigham Young University, Provo, UT, 84602, USA (Lillywhite, K.; Dah-Jye Lee)
Abstract	Human detection has always been an important part of computer vision but many implementations lack the real-time performance that real world applications require. This paper presents a real-time implementation of human detection in video using the state-of-the-art histograms of oriented gradients method. Each image in the video sequence is tested at multiple scales using a sliding window. Histograms of oriented gradients are created for each window and passed to a support vector machine to classify it as human or not. The histograms of oriented gradients method is implemented on a GPU using the NVIDIA CUDA architecture. The implementation significantly speeds up computation, achieving approximately 38 frames a second on VGA video while testing 11,160 windows per frame. Accuracy remains comparable to the CPU implementation. The flexibility and computational power the GPU affords users is discussed. These discussions should benefit those researchers who are interested in using a GPU for high-performance computing tasks.
Starting Page	1
Ending Page	6
File Size	277870
Page Count	6
File Format	PDF
ISBN	9781424454976
ISSN	15505790
e-ISBN	9781424454983
DOI	10.1109/WACV.2009.5403100
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-12-07
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Humans Histograms Gradient methods Testing Computer vision Application software Video sequences Support vector machines Support vector machine classification Computer architecture
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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