Andrie , Rosa and Basuki, Achmad and Arai, Kohei (2011) A Review of Chinese Academy of Sciences (CASIA) Gait Database As a Human Gait Recognition Dataset. In: IES 2011-Emerging Technology for Better Human Life.
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Abstract
Human Gait as the recognition object is the famous biometrics system recently. Many researchers had focused this subject to consider for a new recognition system. One of the important advantage in this recognition compare to other is it does not require observed subject’s attention and cooperation. There are many human gait datasets created within the last 10 years. Some databases that are widely used are University Of South Florida (USF) Gait Dataset, Chinese Academy of Sciences (CASIA) Gait Dataset, and Southampton University (SOTON) Gait Dataset. This paper will analyze the CASIA Gait Dataset in order to see their characteristics. There are 2 pre-processing subsystems; model based and model free approach. We will use 2D Discrete Wavelet Transform (DWT). We select Haar wavelets to reduce and extract the feature.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software |
| Divisions: | Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science |
| Depositing User: | Satria Hardinata |
| Date Deposited: | 14 Nov 2011 12:15 |
| Last Modified: | 14 Nov 2011 12:15 |
| URI: | http://repo.pens.ac.id/id/eprint/1472 |
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