System and method for video content analysis-based detection, surveillance and alarm management
First Claim
1. A surveillance system for the detection of an alarm situation, the system comprising the elements of:
- a video analysis unit for analyzing at least two video data streams recorded by at least two capturing devices, each of the two streams representing images of a monitored area, the video analysis unit comprising an object tracking module for tracking the movements and the location of at least two video objects seen in the at least two video data streams;
a detection, surveillance and alarm application for receiving video data analysis results from the video analysis unit, for automatically identifying a first event associated with a first video object in a first video data stream, identifying a second event associated with a second video object a in a second video data stream, and linking the first event and the second event through association of the first object and the second object, and for generating an alarm signal; and
an event database for storing the first video object, the second video object, video object parameters, the first event and the second event,wherein tracking the movements and the location of each of the at least two video objects is done by generating difference frames representing the differences between at least two reference frames and another frame from one of the at least two video data streams.
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Accused Products
Abstract
A surveillance system and method for the automatic detection of potential alarm situation via a recorded surveillance content analysis and for the management of the detected unattended object situation. The system and method are operative in capturing surveillance content, analyzing the captured content and providing in real time a set of alarm messages to a set of diverse devices. The system provides event based debriefing according to captured objects captured by one or more cameras covering different scenes. The invention is implemented in the context of unattended objects (such as luggage, vehicles or persons), parking or driving in restricted zones, controlling access of persons into restricted zones, preventing loss of objects such as luggage or persons and counting of persons.
292 Citations
39 Claims
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1. A surveillance system for the detection of an alarm situation, the system comprising the elements of:
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a video analysis unit for analyzing at least two video data streams recorded by at least two capturing devices, each of the two streams representing images of a monitored area, the video analysis unit comprising an object tracking module for tracking the movements and the location of at least two video objects seen in the at least two video data streams; a detection, surveillance and alarm application for receiving video data analysis results from the video analysis unit, for automatically identifying a first event associated with a first video object in a first video data stream, identifying a second event associated with a second video object a in a second video data stream, and linking the first event and the second event through association of the first object and the second object, and for generating an alarm signal; and an event database for storing the first video object, the second video object, video object parameters, the first event and the second event, wherein tracking the movements and the location of each of the at least two video objects is done by generating difference frames representing the differences between at least two reference frames and another frame from one of the at least two video data streams. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18)
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19. A surveillance method for the detection of an alarm situation, the surveillance to be performed on at least one monitored scene having at least two cameras, the method comprising the steps of:
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obtaining video data streams from the at least two cameras representing images of the at least one monitored scene; analyzing the obtained video data streams representing images of at least one object within the at least one monitored scene, the analyzing step comprising the steps of identifying a first video object associated with a first event in a first video data stream and identifying a second video object associated with a second event in a second video data stream; linking the first event and the second event through association of the first object and the second object; and inserting the first video object, the second video object, the first event and the second event into an event database, wherein tracking the movements and the location of each of the at least two video objects is done by generating difference frames representing the differences between at least two reference frames and another frame from one of the at least two video data streams. - View Dependent Claims (20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39)
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Specification