Experimental Analysis of Object Tracking During Occlusion


Ong, Yeng Yeng and Lau, Siong Hoe and Koo, Voon Chet and Khoo, Xin Ping (2018) Experimental Analysis of Object Tracking During Occlusion. Journal of Engineering and Applied Sciences, 13 (4). pp. 820-826. ISSN 1816-949X

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Object tracking is an essential process for automating various video surveillance applications. In order to obtain the trajectories of every moving objects in a scene, the tracking algorithm has to equip with the ability in handling occlusion. Among the existing tracking algorithms, most of the researches used prediction model to estimate the object’s trajectory of the consecutive frames. The estimated position serves as a reference tool to detect and resolve occlusion. This study aims to analyze the performance of Kalman filter prediction model during occlusion incident. Although, Kalman filter is widely applied for object tracking, less effort is done on evaluating the parameter setting and its effect in long-term full occlusion. Experiments are conducted with tracking datasets of varying velocity and acceleration. The experimental result is compared with a conventional predicted motion model to verify the performance of Kalman filter during occlusion.

Item Type: Article
Uncontrolled Keywords: Object monitors (Computer software)
Subjects: Q Science > QA Mathematics > QA71-90 Instruments and machines > QA75.5-76.95 Electronic computers. Computer science
Divisions: Faculty of Information Science and Technology (FIST)
Depositing User: Ms Rosnani Abd Wahab
Date Deposited: 18 Nov 2020 12:23
Last Modified: 18 Nov 2020 12:23
URII: http://shdl.mmu.edu.my/id/eprint/7396


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