Abstract: The present disclosure describes various embodiments of surveillance systems and methods. In one such embodiment, an exemplary surveillance system includes at least one video camera configured to capture video data of a surveilled area; and a computing device that stores a surveillance program. An exemplary surveillance program includes computer-executable instructions configured to: analyze the video data captured by the at least one video camera; identify objects that enter the surveilled area and log a time at which the objects entered the surveilled area; determine an object type for each object; track the identified objects to determine a period of time the objects have been present within the surveilled area; and generate and transmit an alert for each identified object that has been present within the surveilled area for a period of time that exceeds a predetermined time threshold.

Abstract: The present disclosure describes various embodiments of surveillance systems and methods. In one such embodiment, an exemplary surveillance system includes at least one video camera configured to capture video data of a surveilled area; and a computing device that stores a surveillance program. An exemplary surveillance program includes computer-executable instructions configured to: analyze the video data captured by the at least one video camera; identify objects that enter the surveilled area and log a time at which the objects entered the surveilled area; determine an object type for each object; track the identified objects to determine a period of time the objects have been present within the surveilled area; and generate and transmit an alert for each identified object that has been present within the surveilled area for a period of time that exceeds a predetermined time threshold.

Abstract: A method includes receiving data representing an object to be classified into classes and applying the data to a hierarchical fuzzy neural network. The hierarchical fuzzy neural network comprises multiple fuzzy neural networks arranged in a hierarchical structure. The method also includes classifying the data using the hierarchical fuzzy neural network.

Abstract: A method and apparatus for generating high quality output from a video printer. For a given video printer, human experts generate a set of prints from a series of test images, other human experts score those prints, the results are stored in a database, and fuzzy control rules for the printer are developed from the database. The fuzzy rules are then incorporated in a fuzzy control system attached to the printer and its video input source.