Patent ID: 7480079
Filing Date: 2009-01-20
Classification: G06F,G06K,G06T

Abstract:
1. A system for sequential kernel density approximation in video data comprising frames, the system comprising: a mean-shift vector module for finding a gradient ascent direction in a density function, wherein the density function determines a plurality of modes in each frame of the video data, the modes corresponding to potential visual features to be tracked between frames, and a mode reduction module reduces the number of modes located in each frame of the video data, wherein each mode location is a visual feature to be tracked; a Hessian module for generating at least one Hessian matrix corresponding to the mode location of the visual feature in each frame of the video data; a covariance module for determining a covariance of the modes using the Hessian matrix; and a density approximation module for determining an update to the density function at each of the mode locations using the Hessian matrix and the covariance, wherein the update tracks the visual feature in the video data between frames.