Anomaly and Violence Detection in Surveillance Videos
Mattia Torre
Anomaly and Violence Detection in Surveillance Videos.
Rel. Maurizio Morisio. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Informatica (Computer Engineering), 2023
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Abstract
Long considered one of the greatest challenges for Artificial Intelligence methods, videos are now becoming ever-increasing relevant as one of the most effective and pervasive information mediums, mainly due to the constant growth of user-generated content available online and to the rising presence of autonomous cameras both in public and private places. The act of processing and getting useful knowledge from videos presents several criticalities due to the peculiar characteristics of such a medium which merges together spatial and temporal information; nevertheless, the applied fields of use are extremely varied, indicating its potential, and the most diverse feature descriptors and Deep Neural Networks models have been proposed over time.
One application that has gained relevance in the last years is the support in the analysis of videos recorded by surveillance cameras, or Closed-Circuit Television (CCTV): the need for automated algorithms to aid the active monitoring by the user is primarily dependent on the great deficiency between the burgeoning amount of surveillance videos to be analyzed and the available human labor force
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