Moving object detection and image inpainting in street-view imagery

Master thesis (2018)

Authors

M.C. Uittenbogaard Mechanical Engineering

Contributors

D. Gavrila (supervisor 1)
Clint Sebastian (supervisor 1)
Julien Vijverberg (supervisor 1)
Faculty
Mechanical Engineering
Copyright: © 2018 Ries Uittenbogaard
LIDAR Generative Adversarial Networks Image segmentation Image inpainting Moving object detection
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Published Date

28-09-2018

Language

English

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Faculty

Mechanical Engineering

Abstract

In this thesis, a pipeline is created consisting of two parts. In the first part, the moving objects (cars, cyclists, pedestrians) are detected in street-view imagery using image segmentation neural networks and a LIDAR-based moving object detection approach. In the second part, those moving objects are deleted from the image data and an image inpainting approach is used to inpaint the hole. This is a unique approach in which information from multiple views is used as an input for a Generative Adversarial Network (GAN).