Probabilistic Shape Parsing and Action Recognition Through Binary Spatio-Temporal Feature Description
In this thesis, contributions are presented in the areas of shape parsing for view-based object recognition and spatio-temporal feature description for action recognition. A probabilistic model for parsing shapes into several distinguishable parts for accurate shape recognition is presented. This...
Main Author: | Whiten, Christopher J. |
---|---|
Other Authors: | Laganiere, Robert |
Language: | en |
Published: |
Université d'Ottawa / University of Ottawa
2013
|
Subjects: | |
Online Access: | http://hdl.handle.net/10393/24006 http://dx.doi.org/10.20381/ruor-2912 |
Similar Items
-
Probabilistic Shape Parsing and Action Recognition Through Binary Spatio-Temporal Feature Description
by: Whiten, Christopher J.
Published: (2013) -
Probabilistic Shape Parsing and Action Recognition Through Binary Spatio-Temporal Feature Description
by: Whiten, Christopher J.
Published: (2013) -
Local Feature Hashing With Binary Auto-Encoder for Face Recognition
by: Jing Chen, et al.
Published: (2020-01-01) -
Enhancing action recognition of construction workers using data-driven scene parsing
by: Jun Yang
Published: (2018-11-01) -
Action Recognition Based on Two-Stream Convolutional Networks With Long-Short-Term Spatiotemporal Features
by: Yanqin Wan, et al.
Published: (2020-01-01)