03067ntm a2200289 a 4500 vtls000099676 KUKTEM 20251117113326.0 170502t2016 my da f am 000 0 eng d THE0001293(Local) 201905271619 atie 201710171157 aishah 201705021037 saini UMP FSKKP .Z35 2016 r Thesis Zalili Musa An enhancement particle-based method for dynamic object tracking / Zalili Musa Kuantan, Pahang : UMP, 2016 xvi, 140 p. : ill. (some col.) ; 30 cm. + 1 CD ROM Faculty of Computer Systems and Software Engineering Thesis (Doctor of Philosophy in Computer Science) -- Universiti Malaysia Pahang – 2016 Bibliography : p. 94-107 Camera tracking systems have become a common requirement in today‘s society. The availability of high quality and inexpensive video cameras and the increasing need for automated video analysis have generated a great deal of interest in numerous fields. Generally, it is not easy to track human behavior in an environment with a large view. This study aims to address three problems associated with object tracking. The first problem to be considered in this study is to improve the accuracy of object detection for multiple targets in nonlinear motion and during the occlusions occurs. Secondly, to track the precise location of object in relative size. The third problem to be considered is a to improve the processing time for the process of object detection and tracking. Thus, to address the accuracy of object detection, we proposed a new method of dynamic template matching using Global best Local Neighborhood in Particle Swarm Optimization (GbLN-PSO). In this study, feature-based approach using a GbLN-PSO algorithm will be applied to search the minimum value of dynamic template matching process. Furthermore, a model-based particle filter is used to address the problem of tracking objects precisely. This method is able to predict the precise location of object movement in the 2-D image. The combination of these two new proposed solutions, consequently, will improve the processing time in detecting the object with precision location. The proposed method has been tested with an experimental module using several sets of video data provided by the Eleventh IEEE International Workshop on Performance Evaluation of Tracking and Surveillance (PETS) and two other video streams of UBC hockey and Malaysian football games. The experiment has shown that the accuracy of tracking performance has increased up to 25% compared to others reported work in the scientific literature. Faculty of Computer Systems and Software Engineering Dissertations Universities and Colleges Dissertations Theses http://ecollib.ump.edu.my/25914/ Library access only 0 0 lcc 0 1 20000 20000 2019-09-04 0 FSKKP .Z35 2016 r Thesis 0000117848 2019-09-04 00:00:00 1 2019-09-04 THESIS 0 0 lcc 0 1 20000 20000 2019-09-04 0 CD 10777 | FSKKP .Z35 2016 r Thesis 0000117849 2019-09-04 00:00:00 1 2019-09-04 THESIS VIRTUA40 6776 6782 VTLSSORT0080*0200*0400*0900*1000*2450*2600*3000*5000*5020*5040*5200*6100*6500*6501*8560*9992