To search, Click below search items. |
| All Published Papers Search Service |
|
|
|
Title |
Human Action Recognition Using Deep Data: A Fine-Grained Study |
|
Author |
D. Surendra Rao,Sudharsana Rao Potturua, Bhagyaraju. V |
| Citation |
Vol. 22 No. 6 pp. 97-108 |
|
Abstract |
The video-assisted human action recognition [1] field is one of the most active ones in computer vision research. Since the depth data [2] obtained by Kinect cameras has more benefits than traditional RGB data, research on human action detection has recently increased because of the Kinect camera. We conducted a systematic study of strategies for recognizing human activity based on deep data in this article. All methods are grouped into deep map tactics and skeleton tactics. A comparison of some of the more traditional strategies is also covered. We then examined the specifics of different depth behavior databases and provided a straightforward distinction between them. We address the advantages and disadvantages of depth and skeleton-based techniques in this discussion. |
|
Keywords |
Depth, action recognition, depth maps, skeleton, feature extraction, and classification. |
|
URL |
