Analysis of Crowded Scenes using Holistic Properties
نویسندگان
چکیده
We present results on the PETS 2009 dataset using surveillance systems based on holistic properties of the video. In particular, we evaluate a crowd counting system, based on regression of holistic (global) features, on the PETS 2009 dataset. We also present experimental results on crowd event detection when using the dynamic texture model to represent holistic motion flow in the video.
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