Square patch feature: faster weak-classifier for robust object detection

This paper presents a novel generic weak classifier for object detection called “Square Patch Feature”. The speed and overall performance of a detector utilising Square Patch features in comparison to other weak classifiers shows improvement. Each weak classifier is based on the difference between t...

Full description

Bibliographic Details
Main Authors:	Mohd Mustafah, Yasir, Bigdeli, Abbas, Azman, Amelia Wong, Dadgostar, Farhad, Lovell, Brian
Format:	Conference or Workshop Item
Language:	English
Published:	2010
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://irep.iium.edu.my/99/ http://irep.iium.edu.my/99/ http://irep.iium.edu.my/99/1/Square_Patch_Feature.pdf

id	iium-99
recordtype	eprints
spelling	iium-992011-07-11T06:45:00Z http://irep.iium.edu.my/99/ Square patch feature: faster weak-classifier for robust object detection Mohd Mustafah, Yasir Bigdeli, Abbas Azman, Amelia Wong Dadgostar, Farhad Lovell, Brian TK Electrical engineering. Electronics Nuclear engineering This paper presents a novel generic weak classifier for object detection called “Square Patch Feature”. The speed and overall performance of a detector utilising Square Patch features in comparison to other weak classifiers shows improvement. Each weak classifier is based on the difference between two or four fixed size square patches in an image. A pre-calculated representation of the image called “patch image” is required to accelerate the weak classifiers computation. The computation requires fewer arithmetic operations and fewer accesses to the main memory in comparison to the well known Viola-Jones Haar-like classifier. In addition to the faster computation, the weak classifier can be extended for in-plane rotation, where each square patch can be rotated to detect in-plane rotated objects. The results of the experiments on the MIT CBCL Face dataset show that a Square Patch Feature classifier is as accurate as the Viola-Jones Haarlike classifier, and when implemented on hardware (i.e. FPGA), it is almost 2 times faster. 2010-12-07 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/99/1/Square_Patch_Feature.pdf Mohd Mustafah, Yasir and Bigdeli, Abbas and Azman, Amelia Wong and Dadgostar, Farhad and Lovell, Brian (2010) Square patch feature: faster weak-classifier for robust object detection. In: 11th International Conference on Control Automation Robotics & Vision (ICARCV), 2010, 7-10th December 2010, Singapore. http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5707809&isnumber=5707203
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering Mohd Mustafah, Yasir Bigdeli, Abbas Azman, Amelia Wong Dadgostar, Farhad Lovell, Brian Square patch feature: faster weak-classifier for robust object detection
description	This paper presents a novel generic weak classifier for object detection called “Square Patch Feature”. The speed and overall performance of a detector utilising Square Patch features in comparison to other weak classifiers shows improvement. Each weak classifier is based on the difference between two or four fixed size square patches in an image. A pre-calculated representation of the image called “patch image” is required to accelerate the weak classifiers computation. The computation requires fewer arithmetic operations and fewer accesses to the main memory in comparison to the well known Viola-Jones Haar-like classifier. In addition to the faster computation, the weak classifier can be extended for in-plane rotation, where each square patch can be rotated to detect in-plane rotated objects. The results of the experiments on the MIT CBCL Face dataset show that a Square Patch Feature classifier is as accurate as the Viola-Jones Haarlike classifier, and when implemented on hardware (i.e. FPGA), it is almost 2 times faster.
format	Conference or Workshop Item
author	Mohd Mustafah, Yasir Bigdeli, Abbas Azman, Amelia Wong Dadgostar, Farhad Lovell, Brian
author_facet	Mohd Mustafah, Yasir Bigdeli, Abbas Azman, Amelia Wong Dadgostar, Farhad Lovell, Brian
author_sort	Mohd Mustafah, Yasir
title	Square patch feature: faster weak-classifier for robust object detection
title_short	Square patch feature: faster weak-classifier for robust object detection
title_full	Square patch feature: faster weak-classifier for robust object detection
title_fullStr	Square patch feature: faster weak-classifier for robust object detection
title_full_unstemmed	Square patch feature: faster weak-classifier for robust object detection
title_sort	square patch feature: faster weak-classifier for robust object detection
publishDate	2010
url	http://irep.iium.edu.my/99/ http://irep.iium.edu.my/99/ http://irep.iium.edu.my/99/1/Square_Patch_Feature.pdf
first_indexed	2023-09-18T20:07:17Z
last_indexed	2023-09-18T20:07:17Z
_version_	1777407242914496512

Square patch feature: faster weak-classifier for robust object detection

Similar Items