Automatic underwater LED light and fish behavior observations

Automatic fish classification from underwater images

Automatic fish classification problem is exposed and justified. The latter belongs to the domain of pattern recognition, more specificly object recognition. A closed set automatic fish classifier is implemented and observed to work with a reasonable accuracy. The sytem, based on an eigenspace based approach, is able to discriminate between nine different species from their images where they may...

Underwater color constancy: enhancement of automatic live fish recognition

We present in this paper some advances in color restoration of underwater images, especially with regard to the strong and non uniform color cast which is typical of underwater images. The proposed color correction method is based on ACE model, an unsupervised color equalization algorithm. ACE is a perceptual approach inspired by some adaptation mechanisms of the human visual system, in particu...

Automatic Classification of Fish in Underwater Video; Pattern Matching - Affine Invariance and Beyond

Underwater video is used by marine biologists to observe, identify, and quantify living marine resources. Video sequences are typically analyzed manually, which is a time consuming and laborious process. Automating this process will significantly save time and cost. This work proposes a technique for automatic fish classification in underwater video. The steps involved are background subtractin...

The underwater light field

Effects of customary marine closures on fish behavior, spear-fishing success, and underwater visual surveys.

Customary management systems (i.e., management systems that limit the use of marine resources), such as rotational fisheries closures, can limit harvest of resources. Nevertheless, the explicit goals of customary management are often to influence fish behavior (in particular flight distance, i.e., distance at which an organism begins to flee an approaching threat), rather than fish abundance. W...