You are not logged in.
Openly accessible

Robust object detection under partial occlusion

QIU, YOUHAI 2016, Robust object detection under partial occlusion, PhD. thesis, GTP Research, Deakin University.

Attached Files
Name Description MIMEType Size Downloads
qiu-robustobject-2016A.pdf Connect to thesis application/pdf 36.60MB 2

Title Robust object detection under partial occlusion
Author QIU, YOUHAI
Institution Deakin University
School GTP Research
Faculty Institute for Frontier Materials
Degree type Research doctorate
Degree name PhD.
Thesis advisor She, Fenghua (Mary)
Kong, Lingxue
Kouzani Abbas
Date submitted 2016-02
Keyword(s) Robotics
Image processing
Software engineering
Automation
Summary This thesis focuses on the problem of object detection under partial occlusion in complex scenes through exploring new bottom-up and top-down detection models to cope with object discontinuities and ambiguity caused by partial occlusion and allow for a more robust and adaptive detection of varied objects from different scenes.
Language eng
Field of Research 080106 - Image Processing 50%
090602 - Control Systems, Robotics and Automation 50%
Socio Economic Objective 861699 - Computer Hardware and Electronic Equipment not elsewhere classified 100%
Description of original xxiii, 194 pages : illustrations, tables, figures, some coloured.
Copyright notice ┬ęThe Author. All Rights Reserved
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30089357

Document type: Thesis
Collections: Higher degree theses (full text)
Open Access Collection
Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.

Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 0 times in TR Web of Science
Scopus Citation Count Cited 0 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 14 Abstract Views, 6 File Downloads  -  Detailed Statistics
Created: Fri, 25 Nov 2016, 08:32:32 EST by Deb Gray

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.