The velocity Hough transform: a new technique for dynamic feature extraction

Abstract

We propose a new dynamic feature extraction technique for the analysis of temporal image sequences. Based on the Hough transform, the new technique includes motion in the evidence gathering process to detect moving parametric shapes. Experimental results on real and synthetic image sequences show that this new technique offers increased noise immunity and improves performance, especially in cases of partial occlusion. The new technique is extended to enable the identification of features exhibiting a time variant structure and applied to the task of extracting arterial wall data from a sequence of cross-sectional ultrasound images. Experimental results demonstrate that the approach can provide good results and highlights the performance of the new technique in noisy environments.