Abstract:
A video interface kernel with a defined application program interface includes each of a plurality of core functions for interfacing with video equipment and video processing subsystems. The core functions include such functions as video capture and video output, video recording and playback, and event notification. Functions of the video interface kernel also include video analysis functions and/or interfaces to analysis subsystems, as well as interfaces to point-of-sale terminals, access control systems, and location tracking systems. An intelligent video management module facilitates managing the interactions among the other modules of the kernel, further simplifying the application level interface.
Abstract:
A video processing and analysis system is coupled to a building management and control system. The video processing system provides traffic, occupancy, and other information derived from video images of sections of the building and its environs to the building management and control systems. The building systems use this information in a variety of business management applications, including maintenance scheduling, asset replacement, elevator dispatching, HVAC and lighting control, and so on, to reduce operational or maintenance costs, expedite emergency procedures, improve service levels of building facilities, and regulate the building's environmental conditions
Abstract:
A system and method of detecting tampering at an automatic teller machine includes detecting start and end indicators of a transaction. A representation of a scene at the teller machine, prior to the start of the transaction can be compared to a representation of the scene after the end of the transaction. Variations therebetween can indicate tampering at the machine.
Abstract:
A method and system is configured to characterize regions of an environment by the likelihoods of transition of a target from each region to another. The likelihoods of transition between regions is preferably used in combination with conventional object-tracking algorithms to determine the likelihood that a newly-appearing object in a scene corresponds to a recently-disappeared target. The likelihoods of transition may be predefined based on the particular environment, or may be determined based on prior appearances and disappearances in the environment, or a combination of both. The likelihoods of transition may also vary as a function of the time of day, day of the week, and other factors that may affect the likelihoods of transitions between regions in the particular surveillance environment.
Abstract:
A video processing and analysis system is coupled to a building management and control system. The video processing system provides traffic, occupancy, and other information derived from video images of sections of the building and its environs to the building management and control systems. The building systems use this information in a variety of business management applications, including maintenance scheduling, asset replacement, elevator dispatching, HVAC and lighting control, and so on, to reduce operational or maintenance costs, expedite emergency procedures, improve service levels of building facilities, and regulate the building's environmental conditions.
Abstract:
A method and system is configured to characterize regions of an environment by the likelihoods of transition of a target from each region to another. The likelihoods of transition between regions is preferably used in combination with conventional object-tracking algorithms to determine the likelihood that a newly-appearing object in a scene corresponds to a recently-disappeared target. The likelihoods of transition may be predefined based on the particular environment, or may be determined based on prior appearances and disappearances in the environment, or a combination of both. The likelihoods of transition may also vary as a function of the time of day, day of the week, and other factors that may affect the likelihoods of transitions between regions in the particular surveillance environment.
Abstract:
A system and apparatus are disclosed for modeling patterns of behavior of humans or other animate objects and detecting a violation of a repetitive pattern of behavior. The behavior of one or more persons is observed over time and features of the behavior are recorded in a multi-dimensional space. Over time, the multi-dimensional data provides an indication of patterns of human behavior. Activities that are repetitive in terms of time, location and activity, such as sleeping and eating, would appear as a Gaussian distribution or cluster in the multi-dimensional data. Probability distribution functions can be analyzed using known Gaussian or clustering techniques to identify repetitive patterns of behavior and characteristics thereof, such as a mean and variance. Deviations from repetitive patterns of behavior can be detected and an alarm can be triggered, if appropriate.
Abstract:
The present invention is a method and apparatus for enhancing a perceived video quality (e.g. higher resolution) on a display in a region surrounding an intersection point of a user's gaze onto a screen of the display.
Abstract:
A system and method provides for the automatic generation of a list of channels, stations, selections, etc., that are selected most often on a media presentation device by a user during a particular period of time.
Abstract:
Blocking zones of a surveillance system are configured to prevent false alarms caused by motion within the zones, while allowing tracking of objects through the zones. An object that first appears within a blocking zone is not considered to be a reportable object until the object leaves the zone. All reportable objects are tracked, without regard to the blocking zones. Objects that remain within their initial blocking zone are not deemed to be reportable objects, and therefore do not generate alarms. If an object initially appears within overlapping zones, the object is not deemed to be reportable until it leaves each of the zones at least once. The blocking zones do not mask the video images, and thus a complete record of activity is available for forensic purposes.