Sjarif, N. N. A. and Shamsuddin, S. M. (2016) Human action invarianceness for human action recognition. In: 9th International Conference on Software, Knowledge, Information Management and Applications, SKIMA 2015, 15-17 Dec 2015, Kathmandu, Nepal.
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Abstract
The uniqueness of the human action shape or silhouete can be used for the human action recognition. Acquiring the features of human silhouette to obtained the concept of human action invarianceness have led to an important research in video surveillance domain. This paper discusses the investigation of this concept by extracting individual human action features using integration moment invariant. Experiment result have shown that human action invarianceness are improved with better recognition accuracy. This has verified that the integration method of moment invariant is worth explored in recognition of human action in video surveillance.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Uncontrolled Keywords: | human action invarianceness, Human Action Recognition, Integration Moment Invariant |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Divisions: | Computing |
| ID Code: | 73447 |
| Deposited By: | Mohd Zulaihi Zainudin |
| Deposited On: | 23 Nov 2017 04:17 |
| Last Modified: | 23 Nov 2017 04:17 |
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