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Boosted HOG features and its application on object movement detection

Nowadays, traffic accidents is universally decreasing due to many advanced safety vehicle systems. To prevent the occurrence of a traffic accident, the first function that a safety vehicle system should accomplish is the detection of the objects in traffic situation. This paper presents a popular me...

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Main Authors: Watada, J., Zhang, H., Melo, H., Sun, D., Vasant, P.
Format: Article
Published: Springer Science and Business Media Deutschland GmbH 2018
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85026746648&doi=10.1007%2f978-3-319-63856-0_42&partnerID=40&md5=299f96b8ec8caf0eb09b029cb71dd13c
http://eprints.utp.edu.my/21287/
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spelling my.utp.eprints.212872019-02-26T03:18:09Z Boosted HOG features and its application on object movement detection Watada, J. Zhang, H. Melo, H. Sun, D. Vasant, P. Nowadays, traffic accidents is universally decreasing due to many advanced safety vehicle systems. To prevent the occurrence of a traffic accident, the first function that a safety vehicle system should accomplish is the detection of the objects in traffic situation. This paper presents a popular method called boosted HOG features to detect the pedestrians and vehicles in static images. We compared the differences and similarities of detecting pedestrians and vehicles, then we use boosted HOG features to get an satisfying result. In detecting pedestrians part, Histograms of Oriented Gradients (HOG) feature is applied as the basic feature due to its good performance in various kinds of background. On that basis, we create a new feature with boosting algorithm to obtain more accurate result. In detecting vehicles part, we use the shadow underneath vehicle as the feature, so we can utilize it to detect vehicles in daytime. The shadow is the important feature for vehicles in traffic scenes. The region under vehicle is usually darker than other objects or backgrounds and could be segmented by setting a threshold. © Springer International Publishing AG 2018. Springer Science and Business Media Deutschland GmbH 2018 Article NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85026746648&doi=10.1007%2f978-3-319-63856-0_42&partnerID=40&md5=299f96b8ec8caf0eb09b029cb71dd13c Watada, J. and Zhang, H. and Melo, H. and Sun, D. and Vasant, P. (2018) Boosted HOG features and its application on object movement detection. Smart Innovation, Systems and Technologies, 81 . pp. 340-348. http://eprints.utp.edu.my/21287/
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
description Nowadays, traffic accidents is universally decreasing due to many advanced safety vehicle systems. To prevent the occurrence of a traffic accident, the first function that a safety vehicle system should accomplish is the detection of the objects in traffic situation. This paper presents a popular method called boosted HOG features to detect the pedestrians and vehicles in static images. We compared the differences and similarities of detecting pedestrians and vehicles, then we use boosted HOG features to get an satisfying result. In detecting pedestrians part, Histograms of Oriented Gradients (HOG) feature is applied as the basic feature due to its good performance in various kinds of background. On that basis, we create a new feature with boosting algorithm to obtain more accurate result. In detecting vehicles part, we use the shadow underneath vehicle as the feature, so we can utilize it to detect vehicles in daytime. The shadow is the important feature for vehicles in traffic scenes. The region under vehicle is usually darker than other objects or backgrounds and could be segmented by setting a threshold. © Springer International Publishing AG 2018.
format Article
author Watada, J.
Zhang, H.
Melo, H.
Sun, D.
Vasant, P.
spellingShingle Watada, J.
Zhang, H.
Melo, H.
Sun, D.
Vasant, P.
Boosted HOG features and its application on object movement detection
author_facet Watada, J.
Zhang, H.
Melo, H.
Sun, D.
Vasant, P.
author_sort Watada, J.
title Boosted HOG features and its application on object movement detection
title_short Boosted HOG features and its application on object movement detection
title_full Boosted HOG features and its application on object movement detection
title_fullStr Boosted HOG features and its application on object movement detection
title_full_unstemmed Boosted HOG features and its application on object movement detection
title_sort boosted hog features and its application on object movement detection
publisher Springer Science and Business Media Deutschland GmbH
publishDate 2018
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85026746648&doi=10.1007%2f978-3-319-63856-0_42&partnerID=40&md5=299f96b8ec8caf0eb09b029cb71dd13c
http://eprints.utp.edu.my/21287/
_version_ 1738656268253396992
score 13.211869

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