System and method to improve object tracking using multiple tracking systems

A tracker selection system comprising:

• one or more processors;
• and
• a memory coupled to the one or more processors, the memory storing instructions that, when executed by the one or more processors, cause the one or more processors to perform operations comprising:
• receiving first tracking data and a first confidence value from a first tracking system, wherein the first tracking system is configured to track an object in a sequence of images using a first tracking algorithm, wherein the first tracking algorithm is an adaptive tracking algorithm configured to modify an object model by updating data representing the object, wherein the first tracking data indicates a first location of a first region where the first tracking system has tracked the object in an image of the sequence of images, and wherein the first confidence value indicates a likelihood that the first tracking system is tracking the object;
• receiving second tracking data and a second confidence value from a second tracking system, wherein the second tracking system is configured to track the object in the sequence of images using a second tracking algorithm different from the first tracking algorithm, wherein the second tracking algorithm is a non-adaptive tracking algorithm configured to not modify the object model when updating data representing the object, wherein the second tracking data indicates a second location of a second region where the second tracking system has tracked the object in the image, and
• wherein the second confidence value indicates a likelihood that the second tracking system is tracking the object;
• and
• providing output data to the first tracking system and to the second tracking system, wherein the output data includes data selected from the first tracking data and the second tracking data based on a result of a comparison of the first confidence value and the second confidence value.

A non-transitory computer readable medium storing instructions that, when executed by a processor, cause the processor to:

• receive first tracking data and a first confidence value at a tracker selection system from a first tracking system, wherein the first tracking system is configured to track an object in a sequence of images using a first tracking algorithm, wherein the first tracking algorithm is an adaptive tracking algorithm configured to modify an object model by updating data representing the object, wherein the first tracking data indicates a first location of a first region where the first tracking system has tracked the object in an image of the sequence of images, and wherein the first confidence value indicates a likelihood that the first tracking system is tracking the object;
• receive second tracking data and a second confidence value at the tracker selection system from a second tracking system, wherein the second tracking system is configured to track the object in the sequence of images using a second tracking algorithm different from the first tracking algorithm, wherein the second tracking algorithm is a non-adaptive tracking algorithm configured to not modify the object model when updating data representing the object, wherein the second tracking data indicates a second location of a second region where the second tracking system has tracked the object in the image, and wherein the second confidence value indicates a likelihood that the second tracking system is tracking the object;
• and
• provide output data to the first tracking system and to the second tracking system, wherein the output data includes data selected from the first tracking data and the second tracking data based on a result of a comparison of the first confidence value and the second confidence value.