Abstract
A method for intelligent video monitoring of abnormal behavior of people is considered that is based on parallel object-oriented logic programming. The main idea of the method consists in the description of sought scenarios of abnormal behavior of people followed by analysis of video images by logic programming means (using first-order predicate logic). The distinctive features of this method are the use of the Actor Prolog object-oriented logic language and the translation of logic programs of intelligent video surveillance into the Java language. In this case, the object-oriented means of the logic language allow one to split a program into interacting parallel processes that implement various stages of video image processing and scene analysis, while translation into the Java language guarantees the necessary reliability, portability, and openness of the software for intelligent video monitoring, including the possibility of using modern libraries of low-level image processing.
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This paper uses the materials of the report submitted at the 11th International Conference “Pattern Recognition and Image Analysis: New Information Technologies,” Samara, Russia, September 23–28, 2013.
Aleksei A. Morozov was born in 1968. Graduated from Bauman Moscow State Technical University in 1991. Received his Candidate’s Degree in Physics and Mathematics in 1998. Senior researcher at the Kotel’nikov Institute of Radio Engineering and Electronics, Russian Academy of Sciences. His scientific interests are logic programming, intelligent video surveillance, and processing of biomedical signals (EEG, EMG, and MEG). The author of 90 publications.
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Morozov, A.A. Development of a method for intelligent video monitoring of abnormal behavior of people based on parallel object-oriented logic programming. Pattern Recognit. Image Anal. 25, 481–492 (2015). https://doi.org/10.1134/S1054661815030153
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DOI: https://doi.org/10.1134/S1054661815030153