Motion analysis is one of the most fundamental and challenging problems in the field of
computer vision, which can be widely applied in many areas, such as autonomous driving …

Nano quadcopters are small, agile, and cheap platforms that are well suited for deployment
in narrow, cluttered environments. Due to their limited payload, these vehicles are highly …

Gesture interaction is a natural way of communicating with a robot as an alternative to
speech. Gesture recognition methods leverage optical flow in order to understand human …

As an interesting and important problem in computer vision, learning-based video saliency
detection aims to discover the visually interesting regions in a video sequence. Capturing …

Abstract Analysis of cardiac hemodynamics from Doppler echocardiography videos allows
(i) precise diagnosis of circulatory disorders,(ii) assessment of cardiovascular function and …

Due to the edge jagged and blurred problem in conventional deep learning-based optical
flow estimation methods, an edge detection-based optical flow model (EDOF) is proposed in …

This report summarizes the findings of my MSc thesis within the Control and Simulation
department at the Aerospace Engineering faculty at Delft University of Technology. I would …

This report on real-time convolutional neural networks for optical flow estimation on nano
quadcopters is the result of my MSc graduation research project at the Delft University …

In recent years, optical flow estimation techniques have shifted from classical variational
approaches to learning-based methods, which show promising results with respect to both …

A system and method assessing maritime vessel risk in response to automatically detected
maritime visual events is provided. At least one maritime visual event is detected by at least …