Real-time model-based tracking combining spatial and temporal features
Karen Chaconas, Marilyn Nashman · 1991
This paper describes a method for tracking moving image features by combining spatial and temporal edge information with model based feature information.The algorithm updates the twodimensional position of object features by correlating predicted model features with current image data.The results of the correlation process are used to compute an updated model.The algorithm makes use of a high temporal sampling rate with respect to spatial changes of the image features and operates in a real-time multi-processing environment.Preliminary results demonstrate suc- cessful tracking for image feature velocities between 1.1 and 4.5 pixels every image frame.