Underwater object recognition
WebApr 1, 2012 · In this article we present a new approach for object recognition in a robotic underwater context. Color is an attractive feature because of its simplicity and its robustness to scale changes, object positions and partial occlusions. Unfortunately, in the underwater medium, the colors are modified by attenuation and are not constant with the ... WebApr 9, 2024 · Underwater object detection is a fascinating but challengeable subject in computer vision. Features are difficult to extract due to the color cast and blur of underwater images. Moreover, given the small scale of the underwater object, some details will be lost after several layers of convolution. Therefore, a multi-scale aggregation feature pyramid …
Underwater object recognition
Did you know?
WebScale-aware trident networks for object detection, in: Proceedings of the IEEE/CVF International Conference on Computer Vision, pp. 6054–6063. Google Scholar [32] Liang, … WebAug 26, 2024 · The existing underwater object detection technology can only give the general position of an object, unable to give more detailed information such as the outline …
WebFeb 1, 2024 · Because of the uncertainty of underwater environment, it is a challenge to detect the salient objects from underwater images via traditional saliency detection methods. The diversity and complexity of underwater environment has been induced widespread research interest lately. WebWith the increasing maturity of underwater agents-related technologies, underwater object recognition algorithms based on underwater robots have become a current hotspot for academic and applied research. However, the existing underwater imaging conditions are poor, the images are blurry, and the underwater robot visual jitter and other factors ...
WebMay 5, 2024 · Underwater Fish Detection - written by Aditya Agarwal , Tushar Malani , Gaurav Rawal published on 2024/05/05 download full article with reference data and citations ... Chengdong Wu3, Underwater Object Recognition Using Transformable Template Matching Based on Prior Knowledge, Hindawi Mathematical Problems in Engineering … WebSep 17, 2024 · Underwater object recognition in sonar images, such as mine detection and wreckage detection of a submerged airplane, is a very challenging task. The main difficulties include but are not limited to object rotation, confusion from false targets and complex backgrounds, and extensibility of recognition ability on diverse types of objects.
WebFeb 3, 2024 · Underwater object recognition in sonar images, such as mine detection and wreckage detection of a submerged airplane, is a very challenging task. The main difficulties include but are not limited...
WebJan 2, 2024 · The object recognition algorithm is mainly used to identify objects in the image and report the position and orientation of the objects in the image. To identify an … france world cup resultsWebUnderwater object recognition is a prerequisite for the realization of automated seafood harvesting. To solve the problems of low recognition accuracy… blank map of south koreaWebMar 5, 2024 · The recognition algorithm uses a database of partial views of the objects, stored as point clouds, which is available a priori. The recognition pipeline has 5 stages: (1) Plane segmentation, (2) Pipe detection, (3) Semantic Object-segmentation and detection, (4) Feature based Object Recognition and (5) Bayesian estimation. blank map of southern africaWebApr 7, 2024 · After obtaining the depth information, the intelligent underwater recognition system constructed a deep network based on Faster Region-based Convolutional Neural Network (R-CNN) to detect the underwater object. Eventually, the system was successfully verified by a series of diving-depth tracking experiments. Keywords DQN deep … france world cup ringsWebJun 12, 2024 · A moving object detection in underwater video using subtraction of background model with the five methods which are pre-processing, initialization normal distribution, decision the pixels as objects or background, background modeling, the object detection. Where the moving object can be detecting easily but used only for the indoor … blank map of state of kyWebApr 6, 2024 · The performance of existing underwater object detection methods degrades seriously when facing domain shift caused by complicated underwater environments. Due to the limitation of the number of domains in the dataset, deep detectors easily memorize a few seen domains, which leads to low generalization ability. There are two common ideas … blank map of southern and eastern asiaThe accuracy of underwater target recognition by autonomous underwater vehicle (AUV) is a powerful guarantee for underwater detection, rescue, and security. Recently, deep learning has made significant improvements in digital image processing for target recognition and classification, which makes the underwater target recognition study becoming ... blank map of south america with borders