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A long term change detection method for surveillance applications

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (1997) 1311 485-492
DOI: 10.1007/3-540-63508-4_159
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Abstract

A Long Term Change Detection (CD) Method is presented by definition of a probabilistic-model and the integration of two different informative sources. The model is described from a theoretical point of view and its real implementation by means of a bank of shift registers is presented. The algorithm is part of a surveillance system for unattended railway stations: results on a real image sequence confirm its validity.

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Regazzoni, C. S., Teschioni, A., & Stringa, E. (1997). A long term change detection method for surveillance applications. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1311, pp. 485–492). Springer Verlag. https://doi.org/10.1007/3-540-63508-4_159

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