Image segmentation and pose estimation of humans in video
Data(s) |
2014
|
---|---|
Resumo |
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. |
Formato |
application/pdf |
Identificador | |
Publicador |
Queensland University of Technology |
Relação |
http://eprints.qut.edu.au/66230/1/Daniel_Chen_Thesis.pdf Chen, Daniel Chien Yu (2014) Image segmentation and pose estimation of humans in video. PhD thesis, Queensland University of Technology. |
Fonte |
School of Electrical Engineering & Computer Science; Institute for Future Environments; Science & Engineering Faculty |
Palavras-Chave | #annealed particle filter #background subtraction #feature detection #feature correspondence #graph cut #image segmentation #motion detection #pose estimation |
Tipo |
Thesis |