On the Experiment of Multi Camera Tracking Using Kalman Filter and FOV Lines
On the Experiment of Multi Camera Tracking Using Kalman Filter and FOV Lines
Author : BEDY PURNAMA; BAYU ERFIANTO; YUSFIA HAFID ARISTYAGAMA Published on : ICoICT 2014(Telkom University - Bandung Indonesia)
Abstract
This paper discusses the experiment of tracking of moving human as single object using multi camera. The contribution of this paper is the use of Kalman filter as an object tracker combined with FOV lines method to distinguish the source of camera and to label the passing of moving human as a single object to track. In this paper, the experiment is limited only to track with three still cameras with a static video background, which is to track the moving and running human, and does not handle occlusion between objects in the border of camera footprint. As the results, the tracking algorithm that uses Kalman filter as a tracker combined with FOV lines can be used as well to optimize object tracking using multiple cameras. The performance measure captured during the experiment is the distribution of distance error in pixels, that is the how far the distance between the centroid of tracker bounding box and the object bounding box.
