Our conference paper has been published in the proceedings of the International Conference on Computer Vision (ICCV 2015). In our paper, we presented a methodology for tracking pedestrians in an uncalibrated multi-view camera network. Using a set of color and infrared cameras, we proposed an algorithm that can accurately track pedestrians in a general scene configuration. In our experiments the common field of view of two neighboring cameras was about 30 %. The system improves upon existing methods in the following ways: (1) The system registers partially overlapping camera-views automatically and does not require any manual input, (2) The system reaches state-of-the-art performance even though the common field of view of any two cameras is low and successfully integrates optical and infrared cameras.
One can download the paper from the website of the conference.