Evaluation of statistical and multiple-hypothesis tracking for video traffic surveillance
Machine Vision and Applications
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This paper deals with an application of image sequence analysis. In particular, it addresses the problem of determining the number of people who get into and out of a train carriage when it is crowded and background and/or illumination might change. The proposed system analyzes image sequences and processes them using an algorithm based on the use of several morphological tools and optical flow motion estimation.