Image segmentation and pose estimation of humans in video
Chen, Daniel Chien Yu (2014) Image segmentation and pose estimation of humans in video. PhD thesis, Queensland University of Technology.
This thesis introduces improved techniques towards automatically estimating the pose of humans from video. It examines a complete workflow to estimating pose, from the segmentation of the raw video stream to extract silhouettes, to using the silhouettes in order to determine the relative orientation of parts of the human body. The proposed segmentation algorithms have improved performance and reduced complexity, while the pose estimation shows superior accuracy during difficult cases of self occlusion.
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|Item Type:||QUT Thesis (PhD)|
|Supervisor:||Fookes, Clinton, Sridharan, Sridha, & Denman, Simon|
|Keywords:||annealed particle filter, background subtraction, feature detection, feature correspondence, graph cut, image segmentation, motion detection, pose estimation|
|Divisions:||Current > Schools > School of Electrical Engineering & Computer Science
Current > Institutes > Institute for Future Environments
Current > QUT Faculties and Divisions > Science & Engineering Faculty
|Institution:||Queensland University of Technology|
|Deposited On:||20 Jan 2014 04:22|
|Last Modified:||07 Sep 2015 00:54|
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