Smart objects identification system for robotic surveillance

Rashid , Muhammad Mahbubur and Shafie, Amir Akramin and Mohd Ibrahim, Azhar (2014) Smart objects identification system for robotic surveillance. International Journal of Automation and Computing , 11 (1). pp. 59-71. ISSN 1476-8186

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Abstract

Video surveillance is an active research topic in computer vision. In this paper, humans and cars identification technique suitable for real time video surveillance systems is presented. The technique we proposed includes background subtraction, foreground segmentation, shadow removal, feature extraction and classification. The feature extraction of the extracted foreground objects is done via a new set of affine moment invariants based on statistics method and these were used to identify human or car. When the partial occlusion occurs, although features of full body cannot be extracted, our proposed technique extracts the features of head shoulder. Our proposed technique can identify human by extracting the human head-shoulder up to 60%–70% occlusion. Thus, it has a better classification to solve the issue of the loss of property arising from human occluded easily in practical applications. The whole system works at approximately 16−29 fps and thus it is suitable for real-time applications. The accuracy for our proposed technique in identifying human is very good, which is 98.33%, while for cars� identification, the accuracy is also good, which is 94.41%. The overall accuracy for our proposed technique in identifying human and car is at 98.04%. The experiment results show that this method is effective and has strong robustness.

Item Type:	Article (Journal)
Additional Information:	5486/35901
Uncontrolled Keywords:	affine moment invariants; Humans and cars identification; machine vision; partially occluded human; video surveillance systems
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1001 Production of electric energy. Powerplants
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering > Department of Mechatronics Engineering Kulliyyah of Engineering
Depositing User:	Dr Muhammad Rashid
Date Deposited:	03 Mar 2014 16:22
Last Modified:	05 Apr 2019 09:35
URI:	http://irep.iium.edu.my/id/eprint/35901

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