Towards Scene Understanding Implementing the Stixel World

Grenier, Amélie and AlZoubi, Alaa and Feetham, Luke and Nam, David (2019) Towards Scene Understanding Implementing the Stixel World. In: 2018 IEEE British and Irish Conference on Optics and Photonics (BICOP). IEEE, London, UK. ISBN 978-1-5386-7361-4

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Official URL: https://ieeexplore.ieee.org/document/8658269

Abstract

In this paper, we present our work towards scene understanding based on modeling the scene prior to understanding its content. We describe the environment representation model used, the Stixel World, and its benefits for compact scene representation. We show our preliminary results of its application in a diverse environment and the limitations reached in our experiments using imaging systems. We argue that this method has been developed in an ideal scenario and does not generalise well to uncommon changes in the environment. We also found that this method is sensitive to the quality of the stereo rectification and the calibration of the optics, among other parameters, which makes it time-consuming and delicate to prepare in real-time applications. We think that pixel-wise semantic segmentation techniques can address some of the shortcomings of the concept presented in a theoretical discussion.

Item Type: Book Section
Uncontrolled Keywords: stixel, scene understanding, semantic segmentation, calibration, stereo
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: School of Science > School of Computing
Depositing User: Alaa AlZoubi
Date Deposited: 12 Aug 2019 15:02
Last Modified: 12 Aug 2019 15:02
URI: http://bear.buckingham.ac.uk/id/eprint/394

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