A. Aziz, Nor Nadirah and Mohd Mustafah, Yasir and Azman, Amelia Wong and Shafie, Amir Akramin and Yusoff, Muhammad Izad and Zainuddin, Nor Afiqah and Rashidan, Mohammad Ariff (2016) Real-time moving objects tracking for distributed smart video surveillances. International Review on Computers and Software, 11 (4). pp. 324-335. ISSN 1828-6003 E-ISSN 1828-6011
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Abstract
Tracking the object of interest within a camera's view is essential for crime prevention. This study focuses on analyzing video surveillance in public places. It presents a novel approach to track moving objects across non-overlapping cameras' views that is able to give a consistent label to the objects throughout the whole multi-camera system in real-time. The proposed algorithm is also expected to be able to handle common problems in multiple-camera object tracking including variation of poses, object appearances and occlusion problems. The proposed algorithm was formulated based on visual and temporal cues for multiple cameras using entering/exiting and merging/splitting cases to deal with appearance changes and occlusion problems. Spatial cues are adopted in single-camera object tracking for real-time performance. A novel object segmentation technique based on the observed mask binary value is presented to deal with pose variation across different cameras. In the result section, the comparison between past works and the proposed tracking algorithm are presented. The experimental results
Item Type: | Article (Journal) |
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Additional Information: | 5107/53270 |
Uncontrolled Keywords: | Tracking, Non-overlapping, Visual cues, Spatial, Temporal |
Subjects: | T Technology > T Technology (General) |
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): | Kulliyyah of Engineering > Department of Mechatronics Engineering |
Depositing User: | Dr Yasir Mohd Mustafah |
Date Deposited: | 12 Dec 2016 17:12 |
Last Modified: | 29 Dec 2016 11:24 |
URI: | http://irep.iium.edu.my/id/eprint/53270 |
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