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Human beings do not have well defined shapes neither well defined behaviors. In dense outdoor environments, they are as a consequence hard to detect and algorithms based on a single sensor tend to produce lot of wrong detections. Moreover, many applications require algorithms that work very fast on CPU limited mobile architectures while remaining able to detect, track and classify objects as people...
A simple analog circuit for motion detection was previously proposed based on the biological vision system. In this study, simple analog circuits and system for tracking an object (target) was proposed and fabricated by applying the previous proposed motion detection circuits to the first stage. The circuit for tracking the target was fabricated on the printed board by using discrete metal oxide semiconductor...
Two of the most important solutions in position estimation are compared, in this paper, in order to test their efficiency in a multi-tracking application in an unstructured and complex environment. A particle filter is extended and adapted with a clustering process in order to track a variable number of objects. The other approach is to use a Kalman filter with an association algorithm for each of...
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