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People counting is one of the key techniques in video surveillance. This task usually encounters many challenges in crowded environment, such as heavy occlusion, low resolution, imaging viewpoint variability, etc. Motivated by the success of R-CNN (Girshick et al., 2014) [1] on object detection, in this paper we propose a head detection based people counting method combining the Adaboost algorithm...
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