Out-of-Plane rotated object detection using patch feature based classifier

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

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Abstract

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.

Item Type:	Article (Journal)
Additional Information:	5107/28270. International Symposium on Robotics and Intelligent Sensors 2012 (IRIS 2012)
Uncontrolled Keywords:	Object Detection, Out-of-Plane Rotation, Weak Classifier.
Subjects:	T Technology > T Technology (General)
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering
Depositing User:	Dr Yasir Mohd Mustafah
Date Deposited:	09 Jan 2013 14:33
Last Modified:	19 Feb 2013 13:03
URI:	http://irep.iium.edu.my/id/eprint/28270

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