Coral reef fish detection and recognition in underwater videos by supervised machine learning: Comparison between Deep Learning and HOG+ SVM methods
In this paper, we present two supervised machine learning methods to automatically detect
and recognize coral reef fishes in underwater HD videos. The first method relies on a …
and recognize coral reef fishes in underwater HD videos. The first method relies on a …
Review on visual attributes measurement research of aquatic animals based on computer vision
Y Duan, D Li, Z Li, Z Fu - Transactions of the Chinese Society …, 2015 - ingentaconnect.com
In aquaculture, visual attribute information of aquatic animals is the basis of determining
growth condition, feed conversion, medication dosage, harvesting date and grading for …
growth condition, feed conversion, medication dosage, harvesting date and grading for …
[PDF][PDF] Fish recognition based on robust features extraction from size and shape measurements using neural network
Problem statement: Image recognition is a challenging problem researchers had been
research into this area for so long especially in the recent years, due to distortion, noise …
research into this area for so long especially in the recent years, due to distortion, noise …
Convolutional neural networks for counting fish in fisheries surveillance video
We present a computer vision tool that analyses video from a CCTV system installed on
fishing trawlers to monitor discarded fish catch. The system aims to support expert observers …
fishing trawlers to monitor discarded fish catch. The system aims to support expert observers …
[PDF][PDF] Robust feature extraction methods for general fish classification
Image recognition process could be plagued by many problems including noise, overlap,
distortion, errors in the outcomes of segmentation, and impediment of objects within the …
distortion, errors in the outcomes of segmentation, and impediment of objects within the …
Deep neural networks for analysis of fisheries surveillance video and automated monitoring of fish discards
G French, M Mackiewicz, M Fisher… - ICES Journal of …, 2020 - academic.oup.com
We report on the development of a computer vision system that analyses video from CCTV
systems installed on fishing trawlers for the purpose of monitoring and quantifying discarded …
systems installed on fishing trawlers for the purpose of monitoring and quantifying discarded …
Arabic voice recognition using fuzzy logic and neural network
L Eljawad, R Aljamaeen, M Alsmadi… - … , L., ALJAMAEEN, R …, 2019 - papers.ssrn.com
This research adapted and implemented an algorithm for commanding using speech
recognition in ARABIC language in addition to English, and the ability to train the system …
recognition in ARABIC language in addition to English, and the ability to train the system …
[HTML][HTML] An advanced Bangladeshi local fish classification system based on the combination of deep learning and the internet of things (IoT)
Fish classification leads to the automated machine-based fish separation system. In terms of
classification and real-time data monitoring, deep learning and the Internet of Things (IoT) …
classification and real-time data monitoring, deep learning and the Internet of Things (IoT) …
Fish recognition using convolutional neural network
Studying fish recognition has important realistic and theoretical significance to aquaculture
and marine biology. Fish recognition is challenging problem because of distortion, overlap …
and marine biology. Fish recognition is challenging problem because of distortion, overlap …
[PDF][PDF] Fish classification based on robust features extraction from color signature using back-propagation classifier
Problem statement: Image recognition was a challenging problem researchers had been
research into this area for so long especially in the recent years, due to distortion, noise …
research into this area for so long especially in the recent years, due to distortion, noise …