Automated Human Action Recognition Using Machine Learning
| Author(s) | : | Anuradha Maid, Asst.Prof. Siddharth B. Bhorge |
| Institution | : | E&TC Dept., Vishwakarma Institute of Technology, Pune |
| Published In | : | Vol. 2, Issue 6 — June 2015 |
| Page No. | : | 606-611 |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
Human action recognition is one of the most important technology in computer vision . Human actionrecognition is the process of labeling image sequences with action labels. There are many methods of human actionrecognition are exist. The human action recognition faces many problems such as intensity variations, dynamicbackground, aging ,partial occlusion . We first collects the dataset (using KTH dataset) which is having number ofclasses and video sequences in real time. Interest points and cuboid extraction is done by Dolla’r et al method. Discretewavelet transform and PCA are used to increase accuracy of the system. It has wide application such as security(pedestrian detection),surveillance (behavior analysis), , control (human-computer interfaces), content based videoretrieval, patient monitoring system etc
Anuradha Maid, Asst.Prof. Siddharth B. Bhorge, “Automated Human Action Recognition Using Machine Learning”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 2, Issue 6, pp. 606-611, June 2015.
