A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Visual Interpretation of Hand Gestures for Human-Computer Interaction: A Review
IEEE Transactions on Pattern Analysis and Machine Intelligence
Efficient Visual Recognition Using the Hausdorff Distance
Efficient Visual Recognition Using the Hausdorff Distance
Computer Vision and Human-Computer Interaction
Computer Vision and Human-Computer Interaction
Digital Image Processing
Comparing Images Using the Hausdorff Distance
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fast Tracking of Hands and Fingertips in Infrared Images for Augmented Desk Interface
FG '00 Proceedings of the Fourth IEEE International Conference on Automatic Face and Gesture Recognition 2000
Finding Edges and Lines in Images
Finding Edges and Lines in Images
IEEE Spectrum
A multimodal perceptual user interface for video-surveillance environments
ICMI '05 Proceedings of the 7th international conference on Multimodal interfaces
Hand tracking in bimanual movements
Image and Vision Computing
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Recent developments in the manufacturing and marketing of low power-consumption computers, small enough to be "worn" by users and remain almost invisible, have reintroduced the problem of overcoming the outdated paradigm of human-computer interaction based on use of a keyboard and a mouse. Approaches based on visual tracking seem to be the most promising, as they do not require any additional devices (gloves, etc.) and can be implemented with off-the-shelf devices such as webcams. Unfortunately, extremely variable lighting conditions and the high degree of computational complexity of most of the algorithms available make these techniques hard to use in systems where CPU power consumption is a major issue (e.g. wearable computers) and in situations where lighting conditions are critical (outdoors, in the dark, etc.). This paper describes the work carried out at VisiLAB at the University of Messina as part of the VisualGlove Project to develop a real-time, vision-based device able to operate as a substitute for the mouse and other similar input devices. It is able to operate in a wide range of lighting conditions, using a low-cost webcam and running on an entry-level PC. As explained in detail below, particular care has been taken to reduce computational complexity, in the attempt to reduce the amount of resources needed for the whole system to work.