Abstract: A video tracking system includes a user interface configured to facilitate tracking of a target between video cameras. The user interface includes user controls configured to assist a user in selecting video cameras as the target moves between fields of view of the video cameras. These user controls are automatically associated with specific cameras based on a camera topology relative to a point of view of a camera whose video data is currently being viewed. The video tracking system further includes systems and methods of synchronizing video data generated using the video cameras and of automatically generating a stitched video sequence based on the user selection of video cameras. The target may be tracked in real-time or in previously recorded video and may be track forward or backwards in time.

Abstract: A video tracking system includes a user interface configured to facilitate tracking of a target between video cameras. The user interface includes user controls configured to assist a user in selecting video cameras as the target moves between fields of view of the video cameras. These user controls are automatically associated with specific cameras based on a camera topology relative to a point of view of a camera whose video data is currently being viewed. The video tracking system further includes systems and methods of synchronizing video data generated using the video cameras and of automatically generating a stitched video sequence based on the user selection of video cameras. The target may be tracked in real-time or in previously recorded video and may be track forward or backwards in time.

Abstract: A video tracking system includes a user interface configured to facilitate tracking of a target between video cameras. The user interface includes user controls configured to assist a user in selecting video cameras as the target moves between fields of view of the video cameras. These user controls are automatically associated with specific cameras based on a camera topology relative to a point of view of a camera whose video data is currently being viewed. The video tracking system further includes systems and methods of synchronizing video data generated using the video cameras and of automatically generating a stitched video sequence based on the user selection of video cameras. The target may be tracked in real-time or in previously recorded video and may be track forward or backwards in time.

Abstract: A surveillance system is provided that includes at least one sensor disposed in a security area of a surveillance region to sense an occurrence of a potential security breach event; a plurality of cameras is disposed in the surveillance region; at least one camera thereof has a view of the security area and can be configured to automatically gather biometric information concerning at least one subject person in the vicinity of the security area in response to the sensing of a potential security breach event; one or more other of the plurality of cameras can be configured to search for the at least one subject person; a processing system is programmed to produce a dossier corresponding to the at least one subject person to match biometric information of one or more persons captured by one or more of the other cameras with corresponding biometric information in the dossier.

Abstract: A surveillance system is provided that includes at least one sensor disposed in a security area of a surveillance region to sense an occurrence of a potential security breach event; a plurality of cameras is disposed in the surveillance region; at least one camera thereof has a view of the security area and can be configured to automatically gather biometric information concerning at least one subject person in the vicinity of the security area in response to the sensing of a potential security breach event; one or more other of the plurality of cameras can be configured to search for the at least one subject person; a processing system is programmed to produce a dossier corresponding to the at least one subject person to match biometric information of one or more persons captured by one or more of the other cameras with corresponding biometric information in the dossier.

Abstract: A surveillance system is provided that includes at least one sensor disposed in a security area of a surveillance region to sense an occurrence of a potential security breach event; a plurality of cameras is disposed in the surveillance region; at least one camera thereof has a view of the security area and can be configured to automatically gather biometric information concerning at least one subject person in the vicinity of the security area in response to the sensing of a potential security breach event; one or more other of the plurality of cameras can be configured to search for the at least one subject person; a processing system is programmed to produce a dossier corresponding to the at least one subject person to match biometric information of one or more persons captured by one or more of the other cameras with corresponding biometric information in the dossier.

Abstract: A surveillance system is provided that includes at least one sensor disposed in a security area of a surveillance region to sense an occurrence of a potential security breach event; a plurality of cameras is disposed in the surveillance region; at least one camera thereof has a view of the security area and can be configured to automatically gather biometric information concerning at least one subject person in the vicinity of the security area in response to the sensing of a potential security breach event; one or more other of the plurality of cameras can be configured to search for the at least one subject person; a processing system is programmed to produce a dossier corresponding to the at least one subject person to match biometric information of one or more persons captured by one or more of the other cameras with corresponding biometric information in the dossier.

Abstract: A surveillance system is provided that includes at least one sensor disposed in a security area of a surveillance region to sense an occurrence of a potential security breach event; a plurality of cameras is disposed in the surveillance region; at least one camera of the plurality has a view of the security area and can be configured to automatically gather biometric information concerning at least one subject person in the vicinity of the security area in response to the sensing of a potential security breach event; one or more other of the plurality of cameras can be configured to search for the at least one subject person; a processing system is programmed to produce a subject dossier corresponding to the at least one subject person to match biometric information of one or more persons captured by one or more of the other cameras with corresponding biometric information in the subject dossier.

Abstract: A video tracking system includes a user interface configured to facilitate tracking of a target between video cameras. The user interface includes user controls configured to assist a user in selecting video cameras as the target moves between fields of view of the video cameras. These user controls are automatically associated with specific cameras based on a camera topology relative to a point of view of a camera whose video data is currently being viewed. The video tracking system further includes systems and methods of synchronizing video data generated using the video cameras and of automatically generating a stitched video sequence based on the user selection of video cameras. The target may be tracked in real-time or in previously recorded video and may be track forward or backwards in time.

Abstract: A computer implemented adaptive ensemble classifier is provided which includes: a plurality of classifiers; a decision structure that maps respective classifier combinations to respective classification decision results; and a plurality of respective sets of weights associated with respective classifier combinations.

Abstract: A method is provided for evaluating identity of an object, the method including: converting feature information representing the object to a plurality of mathematically defined components; grouping the components into multiple modalities; producing respective first prediction information for each respective modality wherein the respective prediction information for each respective modality is based upon respective components grouped into that respective modality; and producing second prediction information based upon the respective first prediction information produced for the multiple respective modalities.

Abstract: Systems and methods of robust perceptual color identification are disclosed. The methods include a multilevel analysis for determining the robust perceptual color of an object based on observed colors. This multilevel analysis can include a pixel level, a frame level, and/or a sequence level. The determination may make use of color drift matrices and trained functions such as statistical probability functions. The color drift tables and function training are based on training data generated by observing objects of known robust perceptual color in a variety of circumstances. Embodiments of the invention are applicable to the identification and tracking of objects, for example, in a surveillance video system.