Out-of-Plane rotated object detection using patch feature based classifier
In this paper, we presented a method to extend the weak classifiers that we have previously developed called the square patch feature for out-of-plane rotated object detection. The square patch feature is as discriminative as the popular Viola-Jones Haar-like classifier and is faster. Out-of-plane d...
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iium-282702013-02-19T05:03:35Z http://irep.iium.edu.my/28270/ Out-of-Plane rotated object detection using patch feature based classifier Mohd Mustafah, Yasir Azman, Amelia Wong T Technology (General) In this paper, we presented a method to extend the weak classifiers that we have previously developed called the square patch feature for out-of-plane rotated object detection. The square patch feature is as discriminative as the popular Viola-Jones Haar-like classifier and is faster. Out-of-plane detection without any extra sample data is possible due to the point based representation of the patch feature. The feature points in the classifier data trained from a frontal face can be rotated by assuming that they are mapped on a surface of the object of interest. For simplification object of interest such as the face can be assumed to be flat. The method was tested for face detection problem. A face detector was trained using 4916 face images and rotated for out-of-plane detection. The detection rate of the out-of-plane detection is 71 with a false positive of 189. Elsevier 2012 Article PeerReviewed application/pdf en http://irep.iium.edu.my/28270/1/Out-of-Plane_Rotated_Object_Detection_using_Patch_Feature_based_Classifier.pdf Mohd Mustafah, Yasir and Azman, Amelia Wong (2012) Out-of-Plane rotated object detection using patch feature based classifier. Procedia Engineering, 41 (2012). 170 - 174. ISSN 1877-7058 http://www.sciencedirect.com/science/article/pii/S1877705812025441 10.1016/j.proeng.2012.07.158 |
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Online Access |
language |
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topic |
T Technology (General) |
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T Technology (General) Mohd Mustafah, Yasir Azman, Amelia Wong Out-of-Plane rotated object detection using patch feature based classifier |
description |
In this paper, we presented a method to extend the weak classifiers that we have previously developed called the square patch feature for out-of-plane rotated object detection. The square patch feature is as discriminative as the popular Viola-Jones Haar-like classifier and is faster. Out-of-plane detection without any extra sample data is possible due to the point based representation of the patch feature. The feature points in the classifier data trained from a frontal face can be rotated by assuming that they are mapped on a surface of the object of interest. For simplification object of interest such as the face can be assumed to be flat. The method was tested for face detection problem. A face detector was trained using 4916 face images and rotated for out-of-plane detection. The detection rate of the out-of-plane detection is 71 with a false positive of 189. |
format |
Article |
author |
Mohd Mustafah, Yasir Azman, Amelia Wong |
author_facet |
Mohd Mustafah, Yasir Azman, Amelia Wong |
author_sort |
Mohd Mustafah, Yasir |
title |
Out-of-Plane rotated object detection using patch feature based classifier |
title_short |
Out-of-Plane rotated object detection using patch feature based classifier |
title_full |
Out-of-Plane rotated object detection using patch feature based classifier |
title_fullStr |
Out-of-Plane rotated object detection using patch feature based classifier |
title_full_unstemmed |
Out-of-Plane rotated object detection using patch feature based classifier |
title_sort |
out-of-plane rotated object detection using patch feature based classifier |
publisher |
Elsevier |
publishDate |
2012 |
url |
http://irep.iium.edu.my/28270/ http://irep.iium.edu.my/28270/ http://irep.iium.edu.my/28270/ http://irep.iium.edu.my/28270/1/Out-of-Plane_Rotated_Object_Detection_using_Patch_Feature_based_Classifier.pdf |
first_indexed |
2023-09-18T20:41:46Z |
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2023-09-18T20:41:46Z |
_version_ |
1777409412253614080 |