Kalman Filter Based Multiple Human Tracking Method in Auto-aligned Multi-Camera Environment

Abstract

In this paper, we propose a method to automatically align multiple cameras and track multiple people observed in the multiple camera system. The proposed inter-camera aligning algorithm works based on rigid transformation. The tracking algorithm is based on the Kalman filtering method and merges several human positions through the iterative association and the process of model update. The proposed algorithms are verified by simulation and experimental data obtained in real environment.