Tracking moving objects is an area increasingly known in computer vision field. It plays a very important role in human-computer interaction. In this context we have developed a hand tracking and gesture recognition system that allows interaction with the machine in an intuitive and natural way. To ensure the tracking we apply the Kalman filter and detect the optimal points of the hand in order to determine the gesture expressed by user.
|Title of host publication||Ninth International Conference on Machine Vision, ICMV 2016|
|Editors||Dmitry P. Nikolaev, Antanas Verikas, Jianhong Zhou, Petia Radeva, Wei Zhang|
|Publication status||Published - 2017|
|Event||9th International Conference on Machine Vision, ICMV 2016 - Nice, France|
Duration: 18 Nov 2016 → 20 Nov 2016
|Name||Proceedings of SPIE - The International Society for Optical Engineering|
|Conference||9th International Conference on Machine Vision, ICMV 2016|
|Period||18/11/2016 → 20/11/2016|
- Canny filter.
- features extraction
- Hand tracking
- Harris detector
- Kalman filter