capture the whole scene in adequate detail for counting, e.g., when the scene is too large to fit into the field-of-view of the camera, too long so that the resolution is too low on faraway crowds, or when there are too many large objects that occlude large portions of the crowd. ...
In video surveillance applications, counting people and creating temporal profile is of high interest. Many methods based on texture features have been proposed to solve this problem. Most of the algorithm only estimate crowd density on the whole image while ignore crowd density local region. In ...