Underwater image recognition tracking system and method

Abstract

The invention provides an underwater image recognition tracking system and method, and relates to the technical field of computer vision. The system comprises an affine transformation module, a candidate box generation module, a tracking module and a training module. The method comprises the following steps: receiving an underwater video image sequence, and performing affine transformation on images in the received image sequence to mark an affine frame on a current image frame; on the basis of the affine box, carrying out affine transformation by using a random walk model to form M candidateboxes; inputting candidate image regions determined by the M candidate boxes into a deep convolutional neural network to obtain M scores, wherein M is an integer greater than 1; and determining the candidate box with the highest score as an object to be identified, and marking out the candidate box in the current frame as an identified and tracked object.

Description

technical field [0001] The invention relates to the technical field of computer vision, in particular to an underwater image recognition and tracking system and method. Background technique [0002] In recent years, the emergence of underwater robots has further improved our ability to understand and explore the ocean, and it can replace humans to complete tasks under harsh conditions. Vision system is the core system of underwater robot application. However, for underwater video images, due to the complexity of the water body's own environment, underwater uncertain dynamic factors, and the non-linear influence of the water body on light scattering and absorption effects during the imaging process, the underwater image quality is greatly reduced. quality, resulting in reduced image contrast and blurred textures. The effective visual detection and recognition methods on land play a limited role, and there is currently no general method that can process images in all scenari...

AI Technical Summary

Problems solved by technology

However, for underwater video images, due to the complexity of the water body's own environment, underwater uncertain dynamic factors, and the non-linear influence of the water body on light scattering and absorption effects during the imaging process, the underwater image quality is greatly reduced. quality, resulting in reduced image contrast and blurred textures

The effective visual detection and recognition methods on land play a limited role, and there is currently no general method that can process images in all scenarios

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