TRACKING PERSON IN OUTDOOR AND DYNAMIC ENVIRONMENT

Abstract

This research is intended to track person in the video sequences. The videos used in this research consist of persons walking in the outside of building with dynamic environment. There are two cameras used in this research with different field of view but with overlapping views. Each video has specifications i.e. frame size of 576x768 pixels, rate of 30 frame per second, and avi format. After reading the input, we do background estimator. The background is taken from the initial frame where there is no people walking in the observed area. After the segmentation process, then we use Kalman Filter to predict the tracked person walking in the view. The filtered position yielded by the above algorithm is used to mark the rectangles which state the foreground. When there is occlusion in one view, the homography from this view to other views is estimated from previous tracking results and used to infer the correct transformation for the occluded view. The experiment results show that the tracking process in outdoor and dynamic environment can be done correctly, although some problems still occur to be a challenge for the next research.