Real-time tracking using edge and color feature
Visual surveillance system is an important tool used for monitoring a scene in order to detect any suspicious behavior. Recently, due to the increasing number of cameras, most of the researchers have shown more interest on how to track objects across the cameras. However, the existing algorithms tha...
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2014
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my.iium.irep.416042017-09-20T12:23:37Z http://irep.iium.edu.my/41604/ Real-time tracking using edge and color feature A. Aziz, Nor Nadirah Mohd Mustafah, Yasir Shafie, Amir Akramin Rashidan, M. Ariff Zainuddin, N. Afiqah T Technology (General) TA168 Systems engineering Visual surveillance system is an important tool used for monitoring a scene in order to detect any suspicious behavior. Recently, due to the increasing number of cameras, most of the researchers have shown more interest on how to track objects across the cameras. However, the existing algorithms that have been proposed by earlier researchers still offer some trade-off. As the tracking accuracy increases, the speed will be affected and vice-versa. Thus, this paper presents a novel approach for tracking moving objects which provides the most optimal trade-off in terms of its accuracy and speed. In this paper, a novel computational algorithm for dominant color to deal with the changes of objects' viewpoints is presented. Though, color cue alone is insufficient to provide a reliable tracking since in realistic environment, specifically outdoors, variation of illumination may affect the object appearance. Additional feature that is invariant to this imaging feature, namely edge is used in this project to compensate with the shortcoming. The tracking performance of the algorithm based on each individual feature and the fusion of the edge and color features are presented. Experimental results show that the proposed algorithm is reliable for real-time operation. 2014-09 Conference or Workshop Item REM application/pdf en http://irep.iium.edu.my/41604/4/ICCCE_2014_TENTATIVE_PROGRAMME.pdf application/pdf en http://irep.iium.edu.my/41604/7/41604.pdf application/pdf en http://irep.iium.edu.my/41604/10/41604_Real-time%20tracking%20using%20edge%20and%20color%20feature_Scopus.pdf A. Aziz, Nor Nadirah and Mohd Mustafah, Yasir and Shafie, Amir Akramin and Rashidan, M. Ariff and Zainuddin, N. Afiqah (2014) Real-time tracking using edge and color feature. In: International Conference on Computer and Communication Engineering (ICCCE 2014), 23rd – 25th September 2014, Sunway Putra Hotel, Kuala Lumpur. http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7031648 |
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T Technology (General) TA168 Systems engineering A. Aziz, Nor Nadirah Mohd Mustafah, Yasir Shafie, Amir Akramin Rashidan, M. Ariff Zainuddin, N. Afiqah Real-time tracking using edge and color feature |
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Visual surveillance system is an important tool used for monitoring a scene in order to detect any suspicious behavior. Recently, due to the increasing number of cameras, most of the researchers have shown more interest on how to track objects across the cameras. However, the existing algorithms that have been proposed by earlier researchers still offer some trade-off. As the tracking accuracy increases, the speed will be affected and vice-versa. Thus, this paper presents a novel approach for tracking moving objects which provides the most optimal trade-off in terms of its accuracy and speed. In this paper, a novel computational algorithm for dominant color to deal with the changes of objects' viewpoints is presented. Though, color cue alone is insufficient to provide a reliable tracking since in realistic environment, specifically outdoors, variation of illumination may affect the object appearance. Additional feature that is invariant to this imaging feature, namely edge is used in this project to compensate with the shortcoming. The tracking performance of the algorithm based on each individual feature and the fusion of the edge and color features are presented. Experimental results show that the proposed algorithm is reliable for real-time operation. |
format |
Conference or Workshop Item |
author |
A. Aziz, Nor Nadirah Mohd Mustafah, Yasir Shafie, Amir Akramin Rashidan, M. Ariff Zainuddin, N. Afiqah |
author_facet |
A. Aziz, Nor Nadirah Mohd Mustafah, Yasir Shafie, Amir Akramin Rashidan, M. Ariff Zainuddin, N. Afiqah |
author_sort |
A. Aziz, Nor Nadirah |
title |
Real-time tracking using edge and color feature |
title_short |
Real-time tracking using edge and color feature |
title_full |
Real-time tracking using edge and color feature |
title_fullStr |
Real-time tracking using edge and color feature |
title_full_unstemmed |
Real-time tracking using edge and color feature |
title_sort |
real-time tracking using edge and color feature |
publishDate |
2014 |
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http://irep.iium.edu.my/41604/4/ICCCE_2014_TENTATIVE_PROGRAMME.pdf http://irep.iium.edu.my/41604/7/41604.pdf http://irep.iium.edu.my/41604/10/41604_Real-time%20tracking%20using%20edge%20and%20color%20feature_Scopus.pdf http://irep.iium.edu.my/41604/ http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7031648 |
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1643612052506279936 |
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13.18916 |