Camera Parameter Adjustment using Genetic Algorithm for Estimating the Number of People from Image Sequence

Abstract

We use foreground pixels as indicators of the presence of people to estimate the total number of people in an image sequence; the proposed method has low processing cost and can output the number in real time. The number of people is computed from the visual hull for each pixel, based on the camera parameters of a stationary camera, and a simple geometric model for each person. The proposed method uses a genetic algorithm to automatically adjust the camera parameters, in the framework of calculating the total number of people. We evaluate the performance of the method with computer simulations and demonstrate its effectiveness on real images.