Real time single and multi-gesture recognition based on skin colour and optical flow
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چکیده
14
منابع مشابه
Real Time Single and Multiuser Gesture Recognition Based on Skin Colour and Optical Flow
Gestural interfaces offer the potential for a natural and non-cumbersome human computer interaction. High gesture recognition rates for both recorded sequences and real time video streams have been achieved. However, real time gesture recognition still remains a challenge especially for settings where ambient conditions (e.g. lighting, background) are subject to change and where there are multi...
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This paper presents a comparison study between the multilayer perceptron (MLP) and radial basis function (RBF) neural networks with supervised learning and back propagation algorithm to track hand gestures. Both networks have two output classes which are hand and face. Skin is detected by a regional based algorithm in the image, and then networks are applied on video sequences frame by frame in...
متن کاملSkin Locus Based Skin Detection for Gesture Recognition
The paper describes ongoing research in computer vision based gestural interfaces. The aim of the research is to develop a novel, multi-user gesture recognition system that addresses key factors of human computer interaction; the latter is not fully addressed in computer vision research. The focus of current work has been on efficient and accurate skin colour detection. Skin colour based segmen...
متن کاملView-Based Interpretation of Real-Time Optical Flow for Gesture Recognition
We have developed a real-time, view-based gesture recognition system. Optical flow is estimated and segmented into motion blobs. Gestures are recognized using a rule-based technique based on characteristics of the motion blobs such as relative motion and size. Parameters of the gesture (e.g., frequency) are then estimated using context specific techniques. The system has been applied to create ...
متن کاملCombining Skin Color and Optical Flow for Computer Vision Systems
Skin color is an important visual cue for computer vision systems involving human users. In this paper we combine skin color and optical flow for detection and tracking of skin regions. We apply these techniques to gesture recognition with encouraging results. We propose a novel skin similarity measure. For grouping detected skin regions we propose a novel skin region grouping mechanism. The pr...
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تاریخ انتشار 2013