Re-Identification for Multi-Target-Tracking Systems using Multi-Camera, Homography Transformations and Trajectory Matching

This paper proposes an algorithm for multipletarget re-identification of targets viewed using images captured from multiple cameras. B-spline polynomials are used to approximate and define the target trajectories. This allows a smoother representation of irregular trajectories of rapidly moving targets. Homography transformations of the different camera frames into one common frame allow a comparison between target trajectories. Based on their similarity targets are re-identified, meaning that corresponding targets observed by multiple cameras are associated across cameras. Results show that the algorithm is able to re-identify targets in a simulated environment as well as on recorded data of football players from field tests     «

This paper proposes an algorithm for multipletarget re-identification of targets viewed using images captured from multiple cameras. B-spline polynomials are used to approximate and define the target trajectories. This allows a smoother representation of irregular trajectories of rapidly moving targets. Homography transformations of the different camera frames into one common frame allow a comparison between target trajectories. Based on their similarity targets are re-identified, meaning that c...     »