Abstract
A short survey of visual human tracking technologies used in intelligent surveillance systems is presented. Face recognition algorithms combined with human tracking systems are not meant to identify human face and personality. There is no database with persons’ biometric features employed, thus in this case there is no problem with violating privacy policy. The concept of combining human tracking technology with face recognition techniques, in order to increase efficiency, has been described. The paper also includes the description of KASKADA - hardware and software supercomputer platform for development of multimodal (audio and video) algorithms, including object and person tracking video monitoring systems. Face recognition algorithm on the KASKADA platform was proposed. Method of implementation of the proposed algorithm was described.
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Marcinkowski, P., Korzeniewski, A., Cżyzewski, A. (2011). Human Tracking in Multi-camera Visual Surveillance System. In: Dziech, A., Czyżewski, A. (eds) Multimedia Communications, Services and Security. MCSS 2011. Communications in Computer and Information Science, vol 149. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21512-4_33
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DOI: https://doi.org/10.1007/978-3-642-21512-4_33
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