Inter-frame difference and convolutional neural network fusion-based ship video detection method
A convolutional neural network and video detection technology, applied in the field of image processing, can solve problems such as limited applicable scenarios, failure to meet requirements, and insufficient use of ship video detection accuracy, etc., to reduce the detection area, facilitate feature selection, and background interference small effect
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment Construction
[0019] The present invention provides a ship video detection method based on the fusion of inter-frame differences and convolutional neural networks. The inter-frame differences are obtained for ship videos, and the requirements are obtained based on the inter-frame differences and the ship's position detected in the previous frame. The detected ship may have an area. As the ROI area, the ROI area is divided into small areas to extract shallow features, and then the modified and trained VGG16 network is used to extract high-level features for each frame of image, and the shallow features and high-level features are cascaded as A feature vector is input into the subsequent softmax classifier to judge the salient degree of the ship in the ROI area, so as to obtain the final detection effect.
[0020] The present invention mainly includes four parts: preprocessing the video such as suppressing noise and image sharpening, extracting the difference between ship video frames to obtai...
PUM
Abstract
Description
Claims
Application Information
- R&D Engineer
- R&D Manager
- IP Professional
- Industry Leading Data Capabilities
- Powerful AI technology
- Patent DNA Extraction
Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.
© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com