Attention-based dense crowds analysis
Matei Mancaş · 2010
The use of algorithms which model part of the human attention can bring interesting results in the video analysis of difficult scenarios like dense crowds. A rarity-based attention model is able to provide in real-time areas in video frames where motion behavior is surprising compared to the rest of the motion in the same frame. This algorithm is also resistant to camera shake or translation and points out abnormal activities which can be used in surveillance but also to analyze and even foster social interaction. 1. VIDEO PROCESSING IN DENSE CROWDS Video processing for dense crowds is a field of computer vision which has specific properties. It is for example virtually impossible to obtain individual object tracking or it is difficult to acquire databases of specific events. If the