This thesis describes new approaches to optical flow estimation and motion-based detection
and tracking. Statistical methods, particularly outlier rejection, error analysis and Bayesian …

We present a novel technique to eliminate strong biases in parameter estimation were part
of the data matrix is not corrupted by errors. Problems of this type occur in the simultaneous …

The use of a novel motorized lens to perform segmentation of image sequences is
presented in this paper. The lens has the effect of introducing small, repeating movements of …

Rainfall estimates of high accuracy and resolution are required for urban drainage
modelling, given the high imperviousness, small size and fast response of urban …

Motion segmentation is an important task in computer vision and several practical
approaches have already been developed. A common approach to motion segmentation is …

Optical flow is a motion field estimation method that has a wide range of applications. In this
paper, we present a fully pipelined hardware architecture for high-speed optical flow …

Detecting optical flow means to find the apparent displacement field in a sequence of
images. As starting point for many optical flow methods serves the so called optical flow …

Complexities of dynamic volumetric imaging challenge the available computer vision
techniques on a number of different fronts. This paper examines the relationship between …

The optical flow is an important tool for problems arising in the analysis of image sequences.
Flow fields generated by various existing solving techniques are often noisy and partially …

Neste trabalho procedeu-se ao desenvolvimento de uma aplicação, RBC-Dt 1.0, com base
em conceitos de processamento de imagem/vídeo, capaz de efectuar o seguimento semi …