Syed Abu Bakar, Syed Ab. Rahman and Hosseini, Behnam and Mashak, Saeed Vahabi (2010) Categorization of human movement based on rule-based classifier. In: 4th Asia International Conference on Mathematical Modelling & Computer Simulation (AMS 2010), 26-28 Mei 2010, Kota Kinabalu, Sabah.
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Official URL: http://dx.doi.org/10.1109/AMS.2010.75
Human activity recognition is an active research field in computer vision and image processing. This paper has been concentrated on the recognition between different cyclic motion activities such as running and walking. The proposed system consists of three major steps. Initially by using a single camera, in a variety of angles, the movement of the object is detected, and object silhouette is generated in each frame. Then, our proposed method for generating a skeleton of silhouette is presented. The skeleton is used to determine human activities such as running and walking. In the last stage, a rule-based classifier is used to classify the action.
|Item Type:||Conference or Workshop Item (Paper)|
|Uncontrolled Keywords:||action recognition, background subtraction, mid-point, rule-based classifier, skeletonization, target extraction|
|Subjects:||T Technology > TK Electrical engineering. Electronics Nuclear engineering|
|Deposited By:||Liza Porijo|
|Deposited On:||20 Sep 2012 08:06|
|Last Modified:||20 Sep 2012 08:06|
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