International Journal of Computer Vision
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
WACV-MOTION '05 Proceedings of the IEEE Workshop on Motion and Video Computing (WACV/MOTION'05) - Volume 2 - Volume 02
Bayesian Object Detection in Dynamic Scenes
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
Automatic fish classification for underwater species behavior understanding
Proceedings of the first ACM international workshop on Analysis and retrieval of tracked events and motion in imagery streams
A semi-automatic tool for detection and tracking ground truth generation in videos
Proceedings of the 1st International Workshop on Visual Interfaces for Ground Truth Collection in Computer Vision Applications
ViBe: A Universal Background Subtraction Algorithm for Video Sequences
IEEE Transactions on Image Processing
IEEE Transactions on Intelligent Transportation Systems
Multimedia analysis for ecological data
Proceedings of the 20th ACM international conference on Multimedia
A video processing and data retrieval framework for fish population monitoring
Proceedings of the 2nd ACM international workshop on Multimedia analysis for ecological data
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Object detection in underwater unconstrained environments is useful in domains like marine biology and geology, where the scientists need to study fish populations, underwater geological events etc. However, in literature, very little can be found regarding fish detection in unconstrained underwater videos. Nevertheless, the unconstrained underwater video domain constitutes a perfect soil for bringing state-of-the-art object detection algorithms to their limits because of the nature of the scenes, which often present with a number of intrinsic difficulties (e.g. multi-modal backgrounds, complex textures and color patterns, ever-changing illumination etc..). In this paper, we evaluated the performance of six state-of-the-art object detection algorithms in the task of fish detection in unconstrained, underwater video footage, discussing the properties of each of them and giving a detailed report of the achieved performance.