Using Graphic Processing Units for Tracking Algorithms

In this paper an implementation of the Second Order Minimization Algorithm for image tracking using GPU hardware is presented. Several important design considerations for the algorithm efficiency are discussed, such as the choice of data representation and the processing techniques which best match with the capabilities of the current graphic processor architectures. Our experiments show high performance while maintaining the same precision and convergence properties.