Abstract: A component association tracker is disclosed. The tracker detects, identifies and tracks a target or targets using components extracted from an image. The tracker extracts the components from a window in the image according to edge directions of connected pixels. The tracker associates the components with existing tracks from a track file. The tracks are updated according to information from the associated components.

Abstract: A multi-stage infrared (IR) image-based tracking system is provided that accurately identifies and tracks targets across a variety of different situations and environmental conditions. The system includes primary and secondary trackers. The secondary tracker supports the primary tracker by identifying and tracking targets when the primary tracker loses or fails to identify one or more targets, and helps the primary tracker reacquire valid targets. In an exemplary embodiment of the invention, the primary tracker is a correlation-based tracker, and the secondary tracker is a feature-based tracker. A prescreener is also included, which operates concurrently with the correlation-based and feature-based trackers to generate a list of possible targets. The list can be used to provide a confidence level for the probable targets identified by each of the primary and secondary trackers.

Abstract: A component association tracker is disclosed. The tracker detects, identifies and tracks a target or targets using components extracted from an image. The tracker extracts the components from a window in the image according to edge directions of connected pixels. The tracker associates the components with existing tracks from a track file. The tracks are updated according to information from the associated components.

Abstract: A method and apparatus for tracking an object in an image. An image of a scene comprising an object is received. The image is processed with a first tracker to produce a first estimate of a position of the object in the image and a first confidence value. The image is processed with a second tracker to produce a second estimate of the position of the object in the image and a second confidence value. The second tracker processes the image concurrently with the first tracker. An estimate of the position of the object in the image is selected using the first and second confidence values. The object is then tracked using the selected estimate.