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A Vision-Based Real-Time Pointing Arm Gesture Tracking and Recognition System

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3 Author(s)
Ching-Yu Chien ; Nat. Tsing-Hua Univ., Hsin-Chu ; Chung-Lin Huang ; Fu, Chih-Ming

This paper presents a real-time pointing arm tracking and identification system. It uses three cameras to track the pointing arm and identifies the pointed targets in 3-D space. The user make the arm pointing gesture at anyplace in the working space. Our system uses particle filtering and direct linear transformation (DLT) to track two 3-D points on the pointing arm and applies the epipolar geometry to refine the tracking results. In the experiments, we demonstrate that the hit rate is above 90%.

Published in:

Multimedia and Expo, 2007 IEEE International Conference on

Date of Conference:

2-5 July 2007

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