Colour Model Selection and Adaption in Dynamic Scenes
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume I - Volume I
FG '96 Proceedings of the 2nd International Conference on Automatic Face and Gesture Recognition (FG '96)
Segmenting Hands of Arbitrary Color
FG '00 Proceedings of the Fourth IEEE International Conference on Automatic Face and Gesture Recognition 2000
Pointing gesture recognition based on 3D-tracking of face, hands and head orientation
Proceedings of the 5th international conference on Multimodal interfaces
Visual panel: virtual mouse, keyboard and 3D controller with an ordinary piece of paper
Proceedings of the 2001 workshop on Perceptive user interfaces
Skin Color-Based Video Segmentation under Time-Varying Illumination
IEEE Transactions on Pattern Analysis and Machine Intelligence
On the usability of gesture interfaces in virtual reality environments
CLIHC '05 Proceedings of the 2005 Latin American conference on Human-computer interaction
A boosted classifier tree for hand shape detection
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
Vision-based two hand detection and tracking
Proceedings of the 2nd International Conference on Interaction Sciences: Information Technology, Culture and Human
Proceedings of the 9th ACM SIGGRAPH Conference on Virtual-Reality Continuum and its Applications in Industry
A real time vision-based hand gestures recognition system
ISICA'10 Proceedings of the 5th international conference on Advances in computation and intelligence
| Hi-index | 0.00 |
Skin color is a strong cue in vision-based human tracking. Skin detection has been widely used in various applications, such as face and hand tracking, people detection in the video databases. In this paper, we propose and develop an effective hand tracking method based on a simple color classification. This method includes two major procedures: training and tracking. In the training procedure, the user specifies a region on a hand to obtain the training data. Based on the skin-color distribution, the training data will be classified into several color clusters using randomized list data structure. In the hand tracking procedure, the hand will be segmented in real-time from the background using the randomized lists that have been trained in the training procedure. The proposed method has two advantages: (1) It is fast because the image segmentation algorithm is automatically performed on a small region surrounding the hand; and (2) It is robust under different lighting conditions because the lighting factor is not employed in our effective color classification. Several experiments have been conducted to validate the performance of the proposed method. This proposed method has good potential in many real applications, such as virtual reality or augmented reality systems.