Abstract: A surveillance system allows a user to characterize the user's environment and/or the user's surveillance application, via a selection from among a variety of predefined environments and/or applications. Preferably, the selection is from among a variety of scene configurations, such as the expected number and type of targets in a typical scene, the lighting conditions of the scene, and so on. The selected environments and/or applications effect a determination of the parameters that are used in the various algorithms and processing modules within the surveillance system. Because the selection is preferably from a variety of common scene configurations, no technical skills are required to effect an optimization of the performance of the surveillance system for a particular environment.

Abstract: A surveillance system allows a user to characterize the user's environment and/or the user s surveillance application, via a selection from among a variety of predefined environments and/or applications. Preferably, the selection is from among a variety of scene configurations, such as the expected number and type of targets in a typical scene, the lighting conditions of the scene, and so on. The selected environments and/or applications effect a determination of the parameters that are used in the various algorithms and processing modules within the surveillance system. Because the selection is preferably from a variety of common scene configurations, no technical skills are required to effect an optimization of the performance of the surveillance system for a particular environment.

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.