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  •  M. Boyer, St. Veigl: A distributed system for secure, modular computer vision, "9th Future Security Conference 2014", Fraunhofer Verlag, Stuttgart (2014), ISBN: 978-3-8396-0778-7; S. 696 - 699
  • P. Gemeiner, B. Micusik, R. Pflugfelder: Calibration Methodology for Distant Surveillance Cameras, Agapito L., Bronstein M., Rother C. (eds) Computer Vision - ECCV 2014 Workshops. ECCV 2014. Lecture Notes in Computer Science, vol 8927. Springer, Cham
  • B. Micusik, H. Wildenauer: Descriptor free visual indoor localization with line segments, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2015
  • M. Felsberg, et al.: The Thermal Infrared Visual Object Tracking VOT-TIR2016 Challenge Results, In: Hua G., Jégou H. (eds) Computer Vision – ECCV 2016 Workshops. ECCV 2016. Lecture Notes in Computer Science, vol 9914. Springer, Cham.
  • M. Kristan, et al.: The Visual Object Tracking VOT2016 Challenge Results, Hua G., Jégou H. (eds) Computer Vision – ECCV 2016 Workshops. ECCV 2016. Lecture Notes in Computer Science, vol 9914. Springer, Cham.
  • G. Nebehay, R. Pflugfelder: Clustering of static-adaptive correspondences for deformable object tracking, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2015
  • L. Esterle, et al.: Self-aware object tracking in multi-camera networks, Self-aware Computing Systems. Springer International Publishing, 2016. 261-277
  • A. Zweng, C. Beleznai, C. Sulzbachner: Reliable intruder detection using combined modalities of intensity, thermal infrared and stereo depth, 12th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), 2015, pp. 1-6
  • C. Beleznai, A. Zweng, T. Netousek, J. A. Birchbauer: Multi-resolution binary shape tree for efficient 2D clustering, 3rd IAPR Asian Conference on Pattern Recognition (ACPR), 2015, pp. 569-573