In this dissertation, novel variational optical-flow and active-contour methods are investigated to address challenging problems in computer vision and shape-based imaging. Starting from traditional applications of these ...

The motivation for this research is to provide a quantitative model for improving shadow detection in arbitrary environments. Many computer vision applications extract foreground pixels to capture moving objects in a scene. ...

Today, there are various different paradigms for vision based autonomous navigation: mediated perception approaches that parse an entire scene to make driving decision, a direct perception approach that estimates the ...

The objective of the proposed thesis is to illustrate the training, validation and evaluation of vehicle detection algorithms using computer vision and deep learning methods, and vehicle tracking in video sequences. Object ...

Computer Vision aims at developing techniques to extract and exploit information from images. The successful applications of computer vision approaches are multiple and have benefited diverse fields such as manufacturing, ...

As demand for real-time image processing increases, the need to improve the efficiency of image processing systems is growing. The process of image segmentation is often used in preprocessing stages of computer vision ...

Great strides have been made in recent years in developing the necessary technologies to make autonomous cars a reality. However, a number of challenges remain, a major one being that of accurate vehicle localization. This ...

Under-ice regions in both the Arctic and Antarctica are of great interest to many domains of science including biology, climate science, and planetary science. Great environmental and technical challenges face researchers ...

Spiking neural network (SNN) uses biologically inspired neuron model coupled with Spike-timing-dependent-plasticity (STDP) to enable unsupervised continuous learning in artificial intelligence (AI) platform. However, current ...

Autonomous navigation for a mobile robot is required to operate in cluttered, unstruc- tured environment at high speeds with efficient data gathering. Given the payload con- straints and long-range sensing requirements, ...