This work presents a vision-based quality assurance system that does assembly line monitoring. The is developed using machine learning hand tracking and object detection methods to monitor the worker’s movement while evaluating correctness of assembly. Feedback about order steps worker has taken continuously shown user. potential reduce amount manual required for in line.

Hand motion capture has been an active research topic, following the success of full-body pose tracking. Despite similarities, hand tracking proves to be more challenging, characterized by a higher dimensionality, severe occlusions and self-similarity between fingers. For this reason, most approaches rely on strong assumptions, like hands in isolation or expensive multi-camera systems, that lim...

This paper describes techniques for the design of a system able to interact with the user by visual recognition of hand gestures. The system is composed of three modules including tracking, posture classii-cation and gesture recognition. A description of each module is given. In order to increase the robustness and the precision of the tracking, several complementary tracking processes are coup...

For the recognition of continuous sign language we analyse whether we can improve the results by explicitly incorporating depth information. Accurate hand tracking for sign language recognition is made difficult by abrupt and fast changes in hand position and configuration, overlapping hands, or a hand signing in front of the face. In our system depth information is extracted using a stereo-vis...

Title of dissertation: Visual Tracking of Human Hand and Head Movements and Its Applications Afshin Sepehri Doctor of Philosophy, 2007 Dissertation directed by: Professor Rama Chellappa Department of Electrical Engineering Tracking of human body movements is an important problem in computer vision with applications in visual surveillance and human-computer interaction. Tracking of a single hand...

This paper describes the development of a v ision-based finger track ing system for media art; the system utilizes an infrared camera and a Kalman filter to accomplish this finger recognition image processing technology . The system is stable and fast, and is able to recognize not only gestures but also the speeds of gestures. Our work , called the "Narrative Hand", switches movies to show the ...