Vision-based hand segmentation techniques for human-robot interaction for real-time applications

• Type: Article in International Conference Proceedings Book
• Date: 2012

Authors

Trigueiros, P (Author) Other; Ribeiro, F (Author) Other; Lopes, G (Author) Other

Conference proceedings International

Title: COMPUTATIONAL VISION AND MEDICAL IMAGE PROCESSING: VIPIMAGE 2011

Pages: 31-35

3rd ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing (VipIMAGE)

Olhao, PORTUGAL, OCT 12-14, 2011

Indexing

ISI Web of Knowledge - 1 Citation

Other information

Authenticus ID: P-00P-7DM

Abstract (EN): One of the most important tasks in hand recognition applications for human-robot interaction is hand segmentation. This work presents a method that uses a Microsoft Kinect camera, for hand localization and segmentation. One important aspect for robot control besides hand localization is hand orientation, which is used in this work to control robot heading direction (left or right) and linear velocity. The system first calculates hand position, and then a kalman filter is used to estimate displacement and linear velocity in a smoother way. Experimental results show that the system is easy to use, and can be applied on several different human-computer interface applications.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 5