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- W58556663 abstract "Tracking human is an important and challenging problem in video-based intelligent robot systems. In this paper, a vision-based human tracking system is supposed to provide sensor input for vision-based control of a mobile robot that works in a team helping the human co-worker. A comparison between NARX neural network and Kalman filter in solving the prediction problem of human tracking in robot vision is presented. After collecting video data from a robot, simulation results obtained from the Kalman filter model are used to compare with the simulation results obtained from the NARX Neural network. Key words: robot vision, Kalman filter, neural networks, human tracking" @default.
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- W58556663 date "2013-07-15" @default.
- W58556663 modified "2023-10-03" @default.
- W58556663 title "KALMAN FILTER AND NARX NEURAL NETWORK FOR ROBOT VISION BASED HUMAN TRACKING" @default.
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