Abstract: A video-based human, non-human, and/or motion verification system and method may include a video sensor adapted to obtain video and produce video output. The video sensor may include a video camera. The video-based human verification system may further include a processor adapted to process video to verify a human presence, a non-human presence, and/or motion. An alarm processing device may be coupled to the video sensor, the alarm processing device being adapted to receive video output or alert information from the video sensor.

Abstract: Input video data is processed to detect a change in a posture of a person shown in the video data. The change of posture may be the result of an event, for example, the person falling or getting up. The input video data may include a plurality of frames. Objects in the frames are tracked and then classified, for example, as human and non-human targets. At least one of the position or location of a human target in the frames is identified. Changes in the location or position of the human target between the frames is determined. When the change in at least of the position or location exceeds a predetermined threshold, a falling down event or a getting up event is detected. The changes in the position or location of the human target can be determined based on a number of different factors.

Abstract: A technique for video processing includes: receiving video from an overhead view of a scene; detecting moving pixels in the video; detecting line segments in the video based on detected moving pixels; identifying targets in the video based on the detected line segments; tracking targets in the video based on the identified targets; and managing tracked targets in the video.

Abstract: A method of video analysis may comprise tracking a state of each target in a video through multiple frames of said video, each state indicating a visibility condition of a target.

Abstract: A method of video surveillance may include performing on input video at least one of the operations selected from the group consisting of motion detection and change detection, recording a motion pattern based on a result of said at least one of the operations, and analyzing the motion pattern to detect periodic motion in the video. A video surveillance apparatus may include a change detector, a motion detector, and/or a combination motion/change detector, a pattern analyzer, and a periodic motion detector.

Abstract: A method of video surveillance may include pre-processing video data to obtain foreground edge information for at least one frame of said video data. The method may perform line segment detection on said foreground edge information to obtain one or more line segments. The line segment detection may be performed by means of an algorithm in which edge pixels are searched and line segments found are checked for validity. It may detect and track one or more targets based on said one or more line segments and may determine if at least one predetermined event is present in said at least one frame of said video data based on the detecting and tracking of said one or more targets.

Abstract: A video-based human verification system and method may include a video sensor adapted to obtain video and produce video output. The video sensor may include a video camera. The video-based human verification system may further include a processor adapted to process video to verify a human presence. An alarm panel may be coupled to the video sensor, the alarm panel being adapted to receive video output or alert information from the video sensor.

Abstract: A computer-readable medium contains software that, when read by a computer, causes the computer to perform a method for wide-area site-based surveillance.

Abstract: An input video sequence may be processed by processing the input video sequence to obtain target information; and building at least one target property map based on said target information. The target property map may be used to detect various events, particularly in connection with video surveillance.

Abstract: An input video sequence may be processed by processing the input video sequence to obtain target information; and building at least one path model based on said target information. The path model may be used to detect various events, particularly in connection with video surveillance.

Abstract: A method of video processing may include analyzing input video information to determine if a current video frame is directed to a same view as a previous video frame; determining whether a new view is present; and indicating a need to use video processing information pertaining to the new view if a new view is determined to be present.

Abstract: A video surveillance system extracts video primitives and extracts event occurrences from the video primitives using event discriminators. The system can undertake a response, such as an alarm, based on extracted event occurrences.

Abstract: Video collected from a video monitored area may be analyzed based on a passback direction of the video monitored area to detect any passback events in the video monitored area.

Abstract: A video surveillance system is set up, calibrated, tasked, and operated. The system extracts video primitives and extracts event occurrences from the video primitives using event discriminators. The system can undertake a response, such as an alarm, based on extracted event occurrences.

Abstract: A video surveillance system is set up, calibrated, tasked, and operated. The system extracts video primitives and extracts event occurrences from the video primitives using event discriminators. The system can undertake a response, such as an alarm, based on extracted event occurrences.

Abstract: A video surveillance system comprises a first sensing unit; a second sensing unit; and a communication medium connecting the first sensing unit and the second sensing unit. The first sensing unit provides information about a position of a target to the second sensing unit via the communication medium, and the second sensing unit uses the position information to locate the target.

Abstract: A video surveillance system comprises a sensing unit capable of being operated in a first mode and second mode and a computer system coupled to the sensing unit. The computer system is adapted to receive and process image data from the sensing unit, to detect and track targets, and to determine whether the sensing unit operates in the first mode or in the second mode based on the detection and tracking of targets.