Human activity recognition based on hidden Markov models
This thesis discusses the main issues of human activity recognition systems, including automatic human activity segmentation, non-meaningful activity rejection and multi-agent activity recognition, and presents the contribution of this project for these issues. Three contributions are presented in t...
Saved in:
Main Author: | Liu, Xiao Hui |
---|---|
Other Authors: | Chua Chin Seng |
Format: | Theses and Dissertations |
Published: |
2008
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/4747 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Similar Items
-
A two-channel training algorithm for hidden Markov model to identify visual speech elements
by: Foo, Say Wei, et al.
Published: (2009) -
Human pose estimation based on data-driven Monte Carlo hidden Markov models
by: Tao, Meng
Published: (2008) -
Recognition of human actions
by: Xiao, Xu
Published: (2010) -
Image recognition and verification on investigation of missing children
by: Aung Phyoe
Published: (2012) -
Gesture recognition using Hidden Markov models
by: Shubhashree Sangameswaran.
Published: (2010)