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: A decomposed original video sequence includes one or more original camera-motion layers and zero or more original fixed-frame layers decomposed from an original video sequence. The decomposed original video sequence is edited by editing at least one of the original camera-motion layers to obtain modified camera-motion layers such that each frame of a composite modified video sequence composed from the modified camera-motion layers and the original fixed-frame layers is obtained without editing each frame of said original video sequence. The editing comprises performing an edge operation to one of said original camera-motion layers.

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: 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: 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: Video is processed by maintaining a background model for the video, detecting a target in the video, detecting if the target is a stationary target, and classifying the stationary target as an insertion in the background model or a removal from the background model.

Abstract: A method for video background scene maintenance uses statistical pixel modeling. A background statistical model is built based on the input video. A background image may be built based on the background statistical model, or video segmentation into foreground and background may be carried out based on the background statistical model.

Abstract: A video tripwire system may enable a user to enter a video tripwire by drawing it on a video image or on a snapshot from a video stream. This drawing may be enabled by a graphical user interface.

Abstract: In a system for video processing, an object of interest is extracted from a video stream. The object from said video stream is analyzed and manipulated to obtain a synthetic character. A virtual video is assembled using the synthetic character.

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 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 method of generating and utilizing a scene model from a sequence of video frames produces a three-dimensional scene model, useful for video processing. The method separates foreground and background data. It uses an estimate of relative motion of an observer to project each frame onto a coordinate system of the three-dimensional scene model. It then merges the background data of a given frame into the scene model.