An introduction to support Vector Machines: and other kernel-based learning methods
An introduction to support Vector Machines: and other kernel-based learning methods
Head Pose Estimation in Computer Vision: A Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence
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The aim of our work is to extract the location of interest inside a target scene. This is done by analyzing videos captured by cameras monitoring an area under surveillance where people are passing in front of a target scene. We apply a head pose estimation module to the people detected in the scene, which tells us if they are looking or not at the target scene. The projection of the visual field on the target scene which extracts the location of interest, requires a person's head pose and his/her distance from the target scene. This process allows an accurate explanation of the human activity and interest in front of an advertising poster, a shop window or a shelf for example.