Patent ID: 6314204
Filing Date: 2001-11-06
Classification: G06K,G06T

Abstract:
A method of modeling an object using data collected as a sequence data frames, comprising:storing said data frames in a pixel by pixel data structure, said data structure written into a computer memory;selecting a set of starting points in a state space by a random selection process, said state space used for computing a probability density function;computing a first probability density function in response to said starting points giving a probability that a model represents first data collected in a first frame stored as said data, said first probability density function plotted in state space, said state space having dimensions corresponding to parameters of said model;determining multiple peaks in said first probability density function, each said peak corresponding to a state space point, and each said state space point corresponding to a peak being referred to as a hypothesis point, and each peak corresponding to a maximum in said probability density function;computing, in response to a plurality of said hypothesis points, a second probability density function giving a probability that a model represents a second frame of data, said second frame of data stored in said data structure.