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Real-time hand gesture recognition based on feature points extraction
- Source :
- ICMV
- Publication Year :
- 2017
- Publisher :
- SPIE, 2017.
-
Abstract
- 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.
- Subjects :
- business.industry
Computer science
020207 software engineering
Context (language use)
02 engineering and technology
Kalman filter
Tracking (particle physics)
Field (computer science)
Gesture recognition
0202 electrical engineering, electronic engineering, information engineering
Feature (machine learning)
020201 artificial intelligence & image processing
Computer vision
Artificial intelligence
business
Gesture
Subjects
Details
- ISSN :
- 0277786X
- Database :
- OpenAIRE
- Journal :
- SPIE Proceedings
- Accession number :
- edsair.doi...........374bb1f52b6b3716553bd5e3b4666d89