Friday 26th of April 2024
 

Color Features Integrated with Line Detection for Object Extraction and Recognition in Traffic Images Retrieval


Hui Hui Wang, Dzulkifli Mohamad and N. A. Ismail

This paper proposes a simple object extraction and recognition method with efficient searching for identifying and extracting the objects in a complex scene based on the color features. The background of the images is needed to be extracted and recognized in order to get the object of the interested in the images first. This can be achieved by getting the best separation line between building and road, followed by the interested objects (vehicles) on the road. The vehicle objects are represented by using Minimum Bound Rectangle (MBR) and the vehicle object representative points will be the left bottom coordinate of the MBR. The color of the vehicles will be used as the attributes of the objects. Experiments have been conducted to demonstrate that single and multiple known objects in complex scenes can be extracted by using this approach.

Keywords: Content based Image Retrieval (CBIR), Object Extraction, Object Recognition

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ABOUT THE AUTHORS

Hui Hui Wang
H.H.Wang received the Bachelor of Information Technology and the Master of science from Universiti Malaysia Sarawak (UNIMAS) in 2001 and 2003 respectively. Her master was on Content Based Image Retrieval. Her intelligent image finder project won the gold metal, Swiss government special award for information solution from 34th Geneva international invention exposition, 2006. She served as a lecturer at UNIMAS and she is now a Ph.D candidate in Department of Computer Graphics, Faculty of Computer Science and Information Technology, Universiti Teknologi Malaysia (UTM). Her main research interests are in image retrieval, computer vision and Pattern recognition.

Dzulkifli Mohamad
Dzulkifli Mohamad completed his degree in Computer Science at Universiti Kebangsaan Malaysia and Advanced Diploma in Computer Science at Glasgow University, Scotland. He continued his master’s degree and PhD in Computer Science both at Universiti Teknologi Malaysia. .He is currently a professor in the Faculty of computer science and Information Technology at Universiti Teknologi Malaysia. His research interests include areas such as Artificial Intelligence and Identification System.

N. A. Ismail
N.A. Ismail received his B.Sc. from Universiti Teknologi Malaysia, UTM, Master of Information Technology (MIT) from National University of Malaysia, and Ph.D. in the field of Human Computer Interaction (HCI) from Loughborough University. He has been a lecturer at Computer Graphics and Multimedia Department, Universiti Teknologi Malaysia for about thirteen years and currently, he is Research Coordinator of the Department. He has made various contributions to the field of Human Computer Interaction (HCI) including research, practice, and education.


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