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Video content analysis or video content analytics (VCA), also known as video analysis or video analytics (VA), is the capability of automatically analyzing video to detect and determine temporal and spatial events. This technical capability is used in a wide range of domains including entertainment, [1] video retrieval and video browsing, [2 ...
Rather than continuously recording data, a VMS may also implement motion detection to reduce the amount of data to be recorded. In older analog security camera systems, the cameras were "dumb" devices only capable of producing a video signal continuously, and any video signal processing had to be done by the recording VMS.
Face detection in a photograph. Artificial intelligence for video surveillance utilizes computer software programs that analyze the audio and images from video surveillance cameras in order to recognize humans, vehicles, objects, attributes, and events. Security contractors program the software to define restricted areas within the camera's ...
Surveillance cameras on the corner of a building. Surveillance camera in a residential community. Dome camera in Rotterdam central metro station. Closed-circuit television (CCTV), also known as video surveillance, [1][2] is the use of closed-circuit television cameras to transmit a signal to a specific place, on a limited set of monitors.
Two repetitions of a walking sequence recorded using motion capture [] Motion capture (sometimes referred as mo-cap or mocap, for short) is the process of recording the movement of objects or people. It is used in military, entertainment, sports, medical applications, and for validation of computer vision [3] and robots. [4]
A camera trap with a passive infrared (PIR) sensor. A camera trap is a camera that is automatically triggered by motion in its vicinity, like the presence of an animal or a human being. It is typically equipped with a motion sensor – usually a passive infrared (PIR) sensor or an active infrared (AIR) sensor using an infrared light beam.
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