Abstract
Gesture recognition with its many possible applications in fields like surveillance, human computer interaction etc. has become an important topic in research today. It is difficult to achieve high accuracies in real scenarios due to the large number of human gestures present, the possibility of noise in the video etc. In this paper, a new method of gesture recognition is proposed, that includes foreground detection, detection of the human figures, and gesture recognition. Several techniques for preprocessing such as Canny Edge Detector, Gabor filter, and Otsu thresholding have been compared, and the results are discussed. In general Gabor filter finally gave better results for gesture recognition.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 2017 International Conference On Smart Technology for Smart Nation, SmartTechCon 2017 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 109-115 |
| Number of pages | 7 |
| ISBN (Electronic) | 9781538605684 |
| DOIs | |
| Publication status | Published - 11-05-2018 |
| Event | 2017 International Conference On Smart Technology for Smart Nation, SmartTechCon 2017 - Bengaluru, India Duration: 17-08-2017 → 19-08-2017 |
Conference
| Conference | 2017 International Conference On Smart Technology for Smart Nation, SmartTechCon 2017 |
|---|---|
| Country/Territory | India |
| City | Bengaluru |
| Period | 17-08-17 → 19-08-17 |
All Science Journal Classification (ASJC) codes
- Artificial Intelligence
- Computer Networks and Communications
- Computer Science Applications
- Computer Vision and Pattern Recognition
- Information Systems and Management
- Renewable Energy, Sustainability and the Environment
- Energy Engineering and Power Technology
