Multiple parametric motion model estimation and segmentation

This paper presents a motion estimation and segmentation algorithm based on multiple parametric model estimation that determines the a priori unknown number of motion models present in the data. The algorithm applies a quasi- simultaneously parametric model fitting method based on a general Least Square fitting. Some experiments are showed in order to demonstrate the results obtained using the proposed algorithm.

• Type: Conference
• Year: 2001
• Where: ICIP
• Authors: Filiberto Pla, Raúl Montoliu
• Keywords: ICIP 2001, Image Processing, Model Fitting Method, Parametric Model Estimation, Segmentation Algorithm