An enhancement particle-based method for dynamic object tracking / (Record no. 6776)

MARC details
000 -LEADER
fixed length control field 03067ntm a2200289 a 4500
001 - CONTROL NUMBER
control field vtls000099676
003 - CONTROL NUMBER IDENTIFIER
control field KUKTEM
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20251117113326.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 170502t2016 my da f am 000 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number THE0001293(Local)
039 #9 - LEVEL OF BIBLIOGRAPHIC CONTROL AND CODING DETAIL [OBSOLETE]
Level of rules in bibliographic description 201905271619
Level of effort used to assign nonsubject heading access points atie
Level of effort used to assign subject headings 201710171157
Level of effort used to assign classification aishah
-- 201705021037
-- saini
040 ## - CATALOGING SOURCE
Original cataloging agency UMP
090 ## - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (RLIN)
Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) FSKKP .Z35 2016 r Thesis
100 0# - MAIN ENTRY--PERSONAL NAME
Personal name Zalili Musa
245 13 - TITLE STATEMENT
Title An enhancement particle-based method for dynamic object tracking /
Statement of responsibility, etc. Zalili Musa
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Kuantan, Pahang :
Name of publisher, distributor, etc. UMP,
Date of publication, distribution, etc. 2016
300 ## - PHYSICAL DESCRIPTION
Extent xvi, 140 p. :
Other physical details ill. (some col.) ;
Dimensions 30 cm. +
Accompanying material 1 CD ROM
500 ## - GENERAL NOTE
General note Faculty of Computer Systems and Software Engineering
502 ## - DISSERTATION NOTE
Dissertation note Thesis (Doctor of Philosophy in Computer Science) -- Universiti Malaysia Pahang – 2016
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Bibliography : p. 94-107
520 3# - SUMMARY, ETC.
Summary, etc. 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.
610 20 - SUBJECT ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element Faculty of Computer Systems and Software Engineering
General subdivision Dissertations
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Universities and Colleges
General subdivision Dissertations
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Theses
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="http://ecollib.ump.edu.my/25914/">http://ecollib.ump.edu.my/25914/</a>
Public note Library access only
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Date acquired Total checkouts Full call number Barcode Date last seen Copy number Price effective from Koha item type
  Not lost Library of Congress Classification   Not for loan UMPLIB PEKAN UMPLIB PEKAN 04/09/2019   FSKKP .Z35 2016 r Thesis 0000117848 04/09/2019 1 04/09/2019 Thesis
  Not lost Library of Congress Classification   Not for loan UMPLIB PEKAN UMPLIB PEKAN 04/09/2019   CD 10777 | FSKKP .Z35 2016 r Thesis 0000117849 04/09/2019 1 04/09/2019 Thesis

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