In-store Human Detection based on AbS Method for Flow Line Analysis

Abstract

We propose an algorithm to detect human position from an in-store image for a flow line analysis proceeded in industrial customer researches. An image processing in in-store image involves difficulties such as occlusions and noise due to low resolution. In addition, the distribution of normal surveillance camera requires algorithm capable of single camera detection. Applying AbS method, which uses synthesized images based on 3D model of the store to analyze real images, the detection resolving the problems is accomplished. The experimental result shows the validity of the algorithm with respect to occlusion caused by human as well as static objects.