Tracking multiple objects in real time

Andrew, Robert (1999). Tracking multiple objects in real time B.Sc Thesis, School of Computer Science and Electrical Engineering, The University of Queensland.

Attached Files (Some files may be inaccessible until you login with your UQ eSpace credentials)
Name Description MIMEType Size Downloads
Andrew_Robert_THE15017.pdf Full text application/pdf 903.42KB 2
Author Andrew, Robert
Thesis Title Tracking multiple objects in real time
School, Centre or Institute School of Computer Science and Electrical Engineering
Institution The University of Queensland
Publication date 1999
Thesis type B.Sc Thesis
Supervisor Dr Brian Lovell
Total pages 74
Language eng
Subjects 0906 Electrical and Electronic Engineering
Formatted abstract

This thesis documents the design and implementation of a real-time object tracking system capable of operating on any modern generic desktop PC including a Video-for-Windows image capture device. A secondary achievement of this thesis is a point tracking algorithm which works seamlessly (though not in real time) with the rest of the system. Multiple points within an object can be tracked.

Before presenting details of the implementation, a general introduction and a theory section relative to this implementation is given. In particular, the concepts of the Hausdorff distance and RGB histogram matching are explained.

Details and results of the system are presented, illustrating the preprocessing, object isolation, object tracking and histogram matching algorithms. An indication of the accuracy achieved is given by the two case studies included.

Speeds of up to 2.5 frames per second were achieved with adequate object tracking accuracy. The area matching method documented herein are shown to be too slow to run in real-time.

It is concluded that the multiple object tracking system described performs robustly and efficiently with an adequate accuracy. The feasibility of implementing real-time image processing applications with generic hardware is asserted.

Keyword Multiple object tracking system
Additional Notes * 4th year electrical engineering theses and information technology abstracts. 1999

Document type: Thesis
Collection: UQ Theses (non-RHD) - UQ staff and students only
Citation counts: Google Scholar Search Google Scholar
Created: Wed, 15 May 2013, 10:32:29 EST by Mr Yun Xiao on behalf of Scholarly Communication and Digitisation Service