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Usod10k: a new benchmark dataset for underwater salient object detection
L Hong, X Wang, G Zhang… - IEEE transactions on image …, 2023 - ieeexplore.ieee.org
Underwater salient object detection (USOD) attracts increasing interest for its promising
performance in various underwater visual tasks. However, USOD research is still in its early …
performance in various underwater visual tasks. However, USOD research is still in its early …
Underwater object detection based on bi-dimensional empirical mode decomposition and Gaussian Mixture Model approach
Monitoring objects and observing changes in the undersea environment are important for
exploring resources and studying ecology. These conditions are challenging because the …
exploring resources and studying ecology. These conditions are challenging because the …
Occlusion aware underwater object tracking using hybrid adaptive deep SORT-YOLOv3 approach
Underwater object tracking and recognition are challenging due to the distinctive
characteristics of underwater environments. The water medium exhibits diffraction and …
characteristics of underwater environments. The water medium exhibits diffraction and …
Spatio-contextual Gaussian mixture model for local change detection in underwater video
In this article, a local change detection technique for underwater video sequences is
proposed to detect the positions of the moving objects. The proposed change detection …
proposed to detect the positions of the moving objects. The proposed change detection …
Assessing the ability of deep learning techniques to perform real-time identification of shark species in live streaming video from drones
Over the last five years remotely piloted drones have become the tool of choice to spot
potentially dangerous sharks in New South Wales, Australia. They have proven to be a more …
potentially dangerous sharks in New South Wales, Australia. They have proven to be a more …
Real-time vehicle detection and tracking using a mean-shift based blob analysis and tracking approach
Implementing computer vision on traffic scenarios are one of the most widely sought area in
the field of vision research. In dealing with the surveillance in traffic scenarios, every vehicle …
the field of vision research. In dealing with the surveillance in traffic scenarios, every vehicle …
[HTML][HTML] A simplified experimental method to estimate the transport of non-buoyant plastic particles due to waves by 2d image processing
Plastic is one of the most widely used materials. It is expected that there will be about 12
billion tons of debris dispersed into the environment by 2050. This, combined with marine …
billion tons of debris dispersed into the environment by 2050. This, combined with marine …
The System Vehicle of Application Detector for Categorize Type
The Detection of the vehicles on the road for the classification of the vehicles. The image
processing by Blob Analysis for careful all the time, because of safety while driving is …
processing by Blob Analysis for careful all the time, because of safety while driving is …
Robust underwater object detection with autonomous underwater vehicle: A comprehensive study
Underwater Object Detection had been one of the most challenging research fields of
Computer Vision and Image Processing. Before Computer Vision techniques were used for …
Computer Vision and Image Processing. Before Computer Vision techniques were used for …
Foreground detection of moving object using Gaussian mixture model
The segmentation/Detection of a moving object is one of the important step in computer
vision application, such as remote sensing, medical imaging, traffic surveillance …
vision application, such as remote sensing, medical imaging, traffic surveillance …