Real-time time super-division calculation imaging method and system for full-band dynamic target sequence

By using a full-band camera and a zoom lens to build a dynamic target sequence acquisition module in the imaging system, and combining a time super-segment neural network based on the optical flow method to perform optical flow estimation and video frame transformation, the existing imaging system is solved by solving the long imaging distance of the existing imaging system , low frame rate and fuzzy details problems in complex environments achieve real-time and high-quality dynamic target imaging.

CN119485043APending Publication Date: 2025-02-18NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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Patent Information

Application Number
CN202411382580.5
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-09-30
Publication Date
2025-02-18

AI Technical Summary

Technical Problem

In the case of long imaging distances and complex environments, existing imaging systems are difficult to obtain high-quality dynamic target image sequences, with low frame counts and blurred details, which affect the subsequent target recognition, tracking and behavioral analysis capabilities.

Method used

A full-band camera and zoom lens are used to build a dynamic target sequence acquisition module, and a convolutional neural network based on optical flow method is used to build a time super-segment neural network, and a real-time super-segment neural network is used to perform optical flow estimation and video frame transformation to improve the imaging system time resolution.

Benefits of technology

Real-time high-quality imaging of full-band dynamic target sequences is achieved, improving the system's anti-interference ability and the accuracy of target recognition and tracking.

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Abstract

The invention discloses a real-time time super-resolution calculation imaging system for a full-band dynamic target sequence. According to the system, a full-band dynamic target sequence acquisition module is used for capturing a target motion sequence image, and real-time interpolation frame generation is realized in combination with a time super-division module. The method improves the problem that the time resolution of the image sequence obtained by a single detection system is low, provides favorable conditions for target detection and recognition, and has the advantages of simple system architecture, high processing efficiency, good output result quality and the like.
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Citation Information

Patent Citations

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