Daniel Muhle

Estimating the mutual orientation in a multi-camera system with a non overlapping field of view

Multi-camera systems offer some advantages over classical systems like stereo or monocular camera systems. A multi-camera system with a non-overlapping field of view, able to cover a wide area, might prove superior e. g. in a mapping scenario where less time is needed to cover the entire area. Approaches to determine the parameters of the mutual orientation from common motions exist for more than 30 years. Most work presented in the past neglected or ignored the influence different motion characteristics have on the parameter estimation process. However, for critical motions a subset of the parameters of the mutual orientation can not be determined or only very inaccurate. In this paper we present a strategy and assessment scheme to allow a successful estimation of as many parameters as possible even for critical motions. Furthermore, the proposed approach is validated by experiments.

A Stereoscopic Approach for the Association of People Tracks in Video Surveillance Systems

analyses (COLLINS et al. 2001). The more accurate the object coordinates of people in the scene are known, the more detailed analyses can be conducted with respect to motion patterns or interactions between tracked people. In this paper we present an approach that generates consistent global tracks of people in non-crowded scenarios. The trajectories are calculated in a common reference frame from observations of multiple surveillance cameras. An important step in our work is the estimation of body height as well as a reliable association of tracks across partly overlapping views. For that purpose, stereoscopic analysis is applied to overlapping parts of images which are either generated randomly while scanning wide areas with several PTZ cam