Audience measurement using a top-view camera and oriented trajectories
This addresses the need for more accurate audience measurement in advertising placement, though it appears incremental as it builds on existing tracking and detection techniques.
The paper tackled the problem of estimating the probability that commercial advertising will be seen by passersby, using a top-view camera with a depth sensor to detect head orientation and track trajectories, resulting in a method to estimate attention given to advertising spots based on these factors.
A crucial aspect for selecting optimal areas for commercial advertising is the probability with which that publicity will be seen. This paper presents a method based on top-view camera measurement, where the probability of viewing is estimated according to the trajectories and movements of the head of the passerby individuals in the area of interest. Using a camera with a depth sensor, the head of the people in the range of view can be detected and modeled. That method allows determining the orientation of the head which is used to estimate the direction of vision. A tracking by detection algorithm is used to compute the trajectory of each user. The attention given at each advertising spot is estimated based on the trajectories and head orientations of the individuals in the area of interest