Abstract: The present invention relates in general to systems and methods for classifying target information acquired with a sensor. In particular, the systems and methods relate to integrating relative orientations of the target information into evidential reasoning heuristics that are used to classify the target information. An exemplary system for classifying target information includes: an initial classification subsystem for determining an initial classification of the target information; a tracking subsystem for identifying a relative orientation of the target information in relation to a predefined reference; and a weighted classification determination subsystem for generating a classification of the target information based on said initial classification and said relative orientation.

Abstract: Methods and apparatus for processing features sampled and stored in a computing system are disclosed. Pattern recognition techniques are disclosed that facilitate decision making functions in computing systems, such as, for example, vehicle occupant safety systems and data mining applications. The disclosed correlation processing methods and apparatus improve the accuracy of data pattern recognition systems, including image processing systems.

Abstract: The present invention relates in general to systems and methods for using motion-based information to segment an image. In particular, the present invention relates to using a joint histogram to isolate a motion-based information of a moving person or object from an “ambient image” of the area surrounding and including the person or object in motion. An exemplary method or system for segmenting an image may include the steps of: generating a joint histogram of a first image and a second image; using the joint histogram to identify motionless information representative of a lack of motion between the first image and the second image; and removing the motionless information from the second image.