Abstract:
A method and system for authenticating financial transactions is disclosed wherein biometric data is acquired from a person and the probability of liveness of the person and probability of a match between the person and known biometric information are calculated, preferably according to a formula D = P(p) * (K + P(m)), wherein K is a number between 0.1 and 100, and authenticating if the value of D exceeds a predetermined value.
Abstract:
A method of determining the identity of a subject while the subject is walking or being transported in an essentially straight direction is disclosed, the two dimensional profile of the subject walking or being transported along forming a three dimensional swept volume, without requiring the subject to change direction to avoid any part of the system, comprising acquiring data related to one or more biometrics of the subject with the camera(s), processing the acquired biometrics data, and determining if the acquired biometric data match corresponding biometric data stored in the system, positioning camera(s) and strobed or scanned infrared illuminator(s) above, next to, or below the swept volume. A system for carrying out the method is also disclosed.
Abstract:
The method and apparatus for performing iris recognition from at least one image is disclosed. A plurality of cameras is used to capture a plurality of images where at least one of the images contains a region having at least a portion of an iris. At least one of the plurality of images is then processed to perform iris recognition.
Abstract:
Method and apparatus for dynamically placing sensors in a 3D model (101) is provided. Specifically, in one embodiment, the method selects a 3D model (101) and a sensor for placement into the 3D model (101). The method renders the sensor and the 3D model (101) in accordance with sensor parameters associated with the sensor and parameters desired by a user. In addition, the method determines whether an occlusion to the sensor is present.
Abstract:
A scalable architecture for providing real-time multi-camera distributed video processing and visualization. An exemplary system comprises at least one video capture and storage system (140) for capturing and storing a plurality of alarm situations or events, and at least one video rendering system for displaying an alarm situation in a context that speeds up comprehension and response. One advantage of the present architecture is that these systems are scalable, such that additional sensors (e.g. cameras, motion sensors, infrared sensors, chemical sensors, biological sensors, temperature sensors and the like) can be added in large numbers without overhelming the ability of security forces to comprehend the alarm situation.
Abstract:
A unified approach, a fusion technique, a space-time constraint, a methodology, and system architecture are provided. The unified approach is to fuse the outputs of monocular and stereo video trackers, RFID and localization systems and biometric identification systems. The fusion technique is provided that is based on the transformation of the sensory information from heterogeneous sources into a common coordinate system with rigorous uncertainties analysis to account for various sensor noises and ambiguities. The space-time constraint is used to fuse different sensor using the location and velocity information. Advantages include the ability to continuously track multiple humans with their identities in a large area. The methodology is general so that other sensors can be incorporated into the system. The system architecture is provided for the underlying real-time processing of the sensors.
Abstract:
A sentient system combines detection, tracking, and immersive visualization of a cluttered and crowded environment, such as an office building, terminal, or other enclosed site using a network of stereo cameras (202). A guard monitors the site using a live 3D model, which is updated from different directions using the multiple video streams. As a person moves within the view of a camera, the system detects its motion and tracks the person's path, it hands off the track to the next camera when the person goes out of that camera's view. Multiple people can be tracked simultaneously both within and across cameras, with each track shown on a map display. The track system includes a track map browser that displays the tracks of all moving objects as well as a history of recent tracks and a video flashlight viewer that displays live immersive video of any person that is being tracked.
Abstract:
A method and apparatus for high-resolution 3D imaging ladar system which can penetrate foliage and camouflage to sample fragments of concealed surfaces of interest is disclosed. Samples collected while the ladar moves can be integrated into a coherent object shape. In one embodiment, a system and method for automatic data-driven registration of ladar frames, comprises a coarse search stage, a pairwise fine registration stage using an iterated closest points algorithm, and a multi-view registration strategy. After alignment and aggregation, it is often difficult for human observers to find, assess and recognize objects from a point cloud display. Basic display manipulations, surface fitting techniques, and clutter suppression to enhance visual exploitation of 3D imaging ladar data may be utilized.
Abstract:
A method and apparatus for detecting objects (e.g., bags, vehicles, etc.) left in a field of view are disclosed. A long-term representation and a short-term representation of the field of view are constructed, and a difference between the long-term representation and the short-term representation is calculated. One or more criteria may optionally be applied to this difference to determine whether the difference represents an object that was left in the field of view.
Abstract:
A scalable architecture for providing real-time multi-camera distributed video processing and visualization. An exemplary system comprises at least one video capture and storage system for capturing and storing a plurality of input videos, at least one vision based alarm system for detecting and reporting alarm situations or events, and at least one video rendering system (e.g., a video flashlight system) for displaying an alarm situation in a context that speeds up comprehension and response. One advantage of the present architecture is that these systems are all scalable, such that additional sensors (e.g., cameras, motion sensors, infrared sensors, chemical sensors, biological sensors, temperature sensors and like) can be added in large numbers without overwhelming the ability of security forces to comprehend the alarm situation.