Enhancement of fast pedestrian detection using HOG features
Histograms of Oriented Gradients (HOG) suffers low processing speed, due to complex and redundant computations. In this paper, a method to improve the speed of detection while maintaining the accuracy has been proposed.This is implemented without using any special purpose hardware such as GPU. The...
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Institute of Research and Journals
2015
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| Online Access: | http://irep.iium.edu.my/44555/ http://irep.iium.edu.my/44555/ http://irep.iium.edu.my/44555/1/11-126-142960909718-22.pdf |
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iium-445552017-11-21T08:26:19Z http://irep.iium.edu.my/44555/ Enhancement of fast pedestrian detection using HOG features Baghdadi, Ahmad Abd Latif, Suhaimi T10.5 Communication of technical information Histograms of Oriented Gradients (HOG) suffers low processing speed, due to complex and redundant computations. In this paper, a method to improve the speed of detection while maintaining the accuracy has been proposed.This is implemented without using any special purpose hardware such as GPU. The speed has been substantially increased through the calculations of trilinear interpolation within each block of cells, utilizing the sub-cell method. The redundant calculation over two levels has been avoided: within each block and within the detection window by utilizing the concept of reusing the calculated features. Results showed a significant speed up by more than eleven times, with almost the same detection accuracy of the original algorithm. Institute of Research and Journals 2015-04 Article PeerReviewed application/pdf en http://irep.iium.edu.my/44555/1/11-126-142960909718-22.pdf Baghdadi, Ahmad and Abd Latif, Suhaimi (2015) Enhancement of fast pedestrian detection using HOG features. International Journal of Industrial Electronics and Electrical Engineering, 3 (4). pp. 18-22. ISSN 2347-6982 http://pep.ijieee.org.in/journal_pdf/11-126-142960909718-22.pdf |
| repository_type |
Digital Repository |
| institution_category |
Local University |
| institution |
International Islamic University Malaysia |
| building |
IIUM Repository |
| collection |
Online Access |
| language |
English |
| topic |
T10.5 Communication of technical information |
| spellingShingle |
T10.5 Communication of technical information Baghdadi, Ahmad Abd Latif, Suhaimi Enhancement of fast pedestrian detection using HOG features |
| description |
Histograms of Oriented Gradients (HOG) suffers low processing speed, due to complex and redundant
computations. In this paper, a method to improve the speed of detection while maintaining the accuracy has been proposed.This is implemented without using any special purpose hardware such as GPU. The speed has been substantially increased through the calculations of trilinear interpolation within each block of cells, utilizing the sub-cell method. The redundant calculation over two levels has been avoided: within each block and within the detection window by utilizing the concept of
reusing the calculated features. Results showed a significant speed up by more than eleven times, with almost the same detection accuracy of the original algorithm. |
| format |
Article |
| author |
Baghdadi, Ahmad Abd Latif, Suhaimi |
| author_facet |
Baghdadi, Ahmad Abd Latif, Suhaimi |
| author_sort |
Baghdadi, Ahmad |
| title |
Enhancement of fast pedestrian detection using HOG features |
| title_short |
Enhancement of fast pedestrian detection using HOG features |
| title_full |
Enhancement of fast pedestrian detection using HOG features |
| title_fullStr |
Enhancement of fast pedestrian detection using HOG features |
| title_full_unstemmed |
Enhancement of fast pedestrian detection using HOG features |
| title_sort |
enhancement of fast pedestrian detection using hog features |
| publisher |
Institute of Research and Journals |
| publishDate |
2015 |
| url |
http://irep.iium.edu.my/44555/ http://irep.iium.edu.my/44555/ http://irep.iium.edu.my/44555/1/11-126-142960909718-22.pdf |
| first_indexed |
2023-09-18T21:03:20Z |
| last_indexed |
2023-09-18T21:03:20Z |
| _version_ |
1777410768979886080 |