Multi-Agent Approach for Occlusion Handling In Crowded Surveillance Video

Lee, Beng Yong (2018) Multi-Agent Approach for Occlusion Handling In Crowded Surveillance Video. PhD thesis, Universiti Malaysia Sarawak.

[img] PDF
Multi-Agent Approach for Occlusion 24pgs.pdf

Download (1MB)
[img] PDF (Please get the password from ACADEMIC REPOSITORY UNIT, ext: 082-583932/ 082-583914)
Multi-Agent Approach for Occlusion ftext.pdf
Restricted to Registered users only

Download (51MB)
Item Type: Thesis (PhD)
Additional Information: Thesis Ph.D -- Universiti Malaysia Sarawak, 2018.
Uncontrolled Keywords: Continuously Adaptive Mean-shift, Kalman Filter, Multi-Agents System Occlusion, Crowded Surveillance Video, Object Tracking, unimas, university, universiti, Borneo, Malaysia, Sarawak, Kuching, Samarahan, ipta, education, Postgraduate, research, Universiti Malaysia Sarawak.
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Academic Faculties, Institutes and Centres > Faculty of Computer Science and Information Technology
Depositing User: Karen Kornalius
Date Deposited: 16 Apr 2019 07:10
Last Modified: 16 Apr 2019 07:10
URI: http://ir.unimas.my/id/eprint/24533

Actions (For repository members only: login required)

View Item View Item