Algorithms For An Integrated Vision-Based Home Security System
This thesis delves into the algorithmic design of two security systems - face recognition system and human motion detection system. The novelty of this scheme is twofold. First, we have developed an eigenedge technique, which employs Principal Component Analysis (PCA) characterisation on the face ed...
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my-mmu-ep.8582010-07-06T04:11:14Z Algorithms For An Integrated Vision-Based Home Security System 2005-04 See, John Su Yang TH Building construction This thesis delves into the algorithmic design of two security systems - face recognition system and human motion detection system. The novelty of this scheme is twofold. First, we have developed an eigenedge technique, which employs Principal Component Analysis (PCA) characterisation on the face edge map derived from a novel fuzzy-based Gaussian-like edge detector. Secondly, a three-tier cascaded classification structure has been developed to enable reclassification using different features or classifiers to improve recognition rate, while maintaining efficiency and computational cost at an acceptable level. 2005-04 Thesis http://shdl.mmu.edu.my/858/ http://myto.perpun.net.my/metoalogin/logina.php masters Multimedia University Research Library |
| institution |
Multimedia University |
| collection |
MMU Institutional Repository |
| topic |
TH Building construction |
| spellingShingle |
TH Building construction See, John Su Yang Algorithms For An Integrated Vision-Based Home Security System |
| description |
This thesis delves into the algorithmic design of two security systems - face recognition system and human motion detection system. The novelty of this scheme is twofold. First, we have developed an eigenedge technique, which employs Principal Component Analysis (PCA) characterisation on the face edge map derived from a novel fuzzy-based Gaussian-like edge detector. Secondly, a three-tier cascaded classification structure has been developed to enable reclassification using different features or classifiers to improve recognition rate, while maintaining efficiency and computational cost at an acceptable level. |
| format |
Thesis |
| qualification_level |
Master's degree |
| author |
See, John Su Yang |
| author_facet |
See, John Su Yang |
| author_sort |
See, John Su Yang |
| title |
Algorithms For An Integrated Vision-Based Home Security System |
| title_short |
Algorithms For An Integrated Vision-Based Home Security System |
| title_full |
Algorithms For An Integrated Vision-Based Home Security System |
| title_fullStr |
Algorithms For An Integrated Vision-Based Home Security System |
| title_full_unstemmed |
Algorithms For An Integrated Vision-Based Home Security System |
| title_sort |
algorithms for an integrated vision-based home security system |
| granting_institution |
Multimedia University |
| granting_department |
Research Library |
| publishDate |
2005 |
| _version_ |
1747829233353228288 |