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Monitoring videos captured by surveillance cameras is a very difficult and time consuming task. There is a need for automated analysis using computer vision methods in order to recognize abnormal human behaviors and assist authorities. On the other hand, crowd (group of people) behavior analysis is a new direction of research, which can be utilized for automatic detection of panic in crowds. Once,...
Scenario understanding from video stream plays an important role in many safety-critical application domains, especially if it is targeted at the autonomous aerial navigation and surveillance. Our contribution aims at enhancing the capability of unmanned aircraft systems to get a high-level description of the scene evolution from a video stream, by identifying events, thanks to the objects involved...
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