A data set providing synthetic and real-world fisheye video sequences
Andrea Eichenseer, Andr\'e Kaup

TL;DR
This paper introduces a comprehensive dataset of synthetic and real-world fisheye video sequences, designed to support the development and evaluation of algorithms tailored to fisheye camera characteristics in surveillance and automotive contexts.
Contribution
It provides the first extensive collection of both synthetic and real fisheye video data, including calibration and lens information, to facilitate algorithm testing and development.
Findings
Dataset includes diverse synthetic sequences for verification.
Real-world sequences come with calibration data.
The dataset is publicly available for research use.
Abstract
In video surveillance as well as automotive applications, so-called fisheye cameras are often employed to capture a very wide angle of view. As such cameras depend on projections quite different from the classical perspective projection, the resulting fisheye image and video data correspondingly exhibits non-rectilinear image characteristics. Typical image and video processing algorithms, however, are not designed for these fisheye characteristics. To be able to develop and evaluate algorithms specifically adapted to fisheye images and videos, a corresponding test data set is therefore introduced in this paper. The first of those sequences were generated during the authors' own work on motion estimation for fish-eye videos and further sequences have gradually been added to create a more extensive collection. The data set now comprises synthetically generated fisheye sequences, ranging…
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Taxonomy
TopicsAdvanced Vision and Imaging · Video Surveillance and Tracking Methods · Advanced Image and Video Retrieval Techniques
MethodsTest
