DYNAMIC LEARNING FOR OBJECT TRACKING

摘要

Techniques described herein relate to mobile computing device technologies, such as systems, methods, apparatuses, and computer-readable media for tracking an object from a plurality of objects. In one aspect, the plurality of objects may be similar. Techniques discussed herein propose dynamically learning information associated with each of the objects and discriminating between objects based on their differentiating features. In one implementation, this may be done by maintaining a database associated with each object and updating the dynamic database transferred while the objects are tracked. The tracker uses algorithmic means for differentiating objects by focusing on the differences amongst the objects. For example, in one implementation, the method may weigh the differences between different fingers higher than their associated similarities to facilitate differentiating the fingers.

主权项

1. A method for tracking an object, comprising:
detecting a plurality of objects from image data, wherein the plurality of objects comprises a first object; tracking a difference associated with one or more features for the plurality of objects with respect to the first object from the image data; and identifying the first object from the plurality of objects using the tracking difference associated with the one or more features for the plurality of objects.