Digital Image Processing
Unencumbered Gestural Interaction
IEEE MultiMedia
Real-Time Fingertip Tracking and Gesture Recognition
IEEE Computer Graphics and Applications
Estimation of the Illuminant Color from Human Skin Color
FG '00 Proceedings of the Fourth IEEE International Conference on Automatic Face and Gesture Recognition 2000
Skin Segmentation Using Color Pixel Classification: Analysis and Comparison
IEEE Transactions on Pattern Analysis and Machine Intelligence
Near-infrared composite pattern projection for continuous motion hand-computer interaction
Journal of Visual Communication and Image Representation
Learning and Removing Cast Shadows through a Multidistribution Approach
IEEE Transactions on Pattern Analysis and Machine Intelligence
Task-based evaluation of skin detection for communication and perceptual interfaces
Journal of Visual Communication and Image Representation
A Unified Framework for Gesture Recognition and Spatiotemporal Gesture Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Detecting skin in face recognition systems: A colour spaces study
Digital Signal Processing
Human-centered fingertip mandarin input system using single camera
MMM'11 Proceedings of the 17th international conference on Advances in multimedia modeling - Volume Part II
Integrated video object tracking with applications in trajectory-based event detection
Journal of Visual Communication and Image Representation
Vision-Based Fingertip-Writing Character Recognition
Journal of Signal Processing Systems
Color based skin classification
Pattern Recognition Letters
A Robust Finger Tracking Method for Multimodal Wearable Computer Interfacing
IEEE Transactions on Multimedia
Gesture-based interaction and communication: automated classification of hand gesture contours
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
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This paper proposes an accurate moving skin region detection method for video-based human-computer interface using gestures or fingertips. Using Gaussian mixture models as groundwork, the proposed method expresses the features of skins in a probability form and incorporates them into the mixture-based framework. Moreover, to alleviate the influence of shadows, the properties of shadows are also formulated as probabilities and used for shadow detection and elimination. In addition to moving skin region detection, this paper also develops two practical fingertip input applications to demonstrate the accuracy of the proposed detection method. The two applications are Mandarin Phonetic Symbol combination recognition system and single fingertip virtual keyboard implementation. Experimental results have shown the advantages of the proposed detection method and the effectiveness of the two application implementations.