Analysis of human behaviour in front of a target scene

In this paper we present an application of computer vision techniques to obtain specific information about the behaviour of the people passing in front of a target scene. This is done by analyzing videos captured by cameras monitoring an area under surveillance. The target scene can be a large plasma screen, a projected image, an advertising poster or a shop window. An example of the type of information that can be extracted is the number of people passing in the area (possibly even making a stop), those who are interested in the target scene (i.e. looking in its direction), and the specific locations of interest inside the target scene. The person detection counts the number of persons subsequently followed by the person tracking which determines who is stopping and who is moving. The head pose estimation denotes whether they are looking or not at the target scene. Finally the projection of the visual field extracts the location of interest in the target scene. All these tasks are improved by taking in account the environmental information.