Dense crowd analysis through bottom-up and top-down attention

نویسندگان

  • Matei Mancas
  • Bernard Gosselin
چکیده

Video analysis of difficult scenarios like dense crowds can highly benefit from the use of algorithms which model part of human attention. Interesting motion which is new or surprising can be computed on large groups of people based on a two step approach. A bottom-up attention model built upon motion rarity compared to the rest of the motion in the same frame and a top-down approach which inhibits regions from the image which have a too repetitive behavior. This algorithm points out abnormal activities which can be used in surveillance but also to analyze and even foster social interaction.

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تاریخ انتشار 2010