3D Model Based Gesture Acquisition Using a Single Camera
WACV '02 Proceedings of the Sixth IEEE Workshop on Applications of Computer Vision
Robust real-time upper body limb detection and tracking
Proceedings of the 4th ACM international workshop on Video surveillance and sensor networks
Human action recognition using star skeleton
Proceedings of the 4th ACM international workshop on Video surveillance and sensor networks
Real-time 3d arm pose estimation from monocular video for enhanced HCI
VNBA '08 Proceedings of the 1st ACM workshop on Vision networks for behavior analysis
Gesture Spotting and Recognition for Human–Robot Interaction
IEEE Transactions on Robotics
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This paper addresses the problem of recognizing signs generated by a person to guide a robot. The proposed method is based on video color analysis of a moving person making signs. The analysis consists of segmentation of the middle body, arm and forearm location and recognition of the arm and forearm positions. The proposed method was experimentally tested on videos with different target colors and illumination conditions. Quantitative evaluations indicate 97.76% of correct detection of the signs in 1807 frames.