Robotics and Machine Learning
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Research from L. Maddalena and co-authors reveals new findings on science
October 13th, 2008
According to a study from Naples, Italy, "The aim of this paper is to propose an artificial intelligence based approach to moving object detection and tracking. Specifically, we adopt an approach to moving object detection based on self organization through artificial neural networks."
"Such approach allows to handle scenes containing moving backgrounds and gradual illumination variations, and achieves robust detection for different types of videos taken with stationary cameras. Moreover, for object tracking we propose a suitable conjunction between Kalman filtering, properly instanced for the problem at hand, and a matching model belonging to the class of Multiple...
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Source: Robotics and Machine Learning (2008-10-13)