Synchronous speed visual matching method and system, electronic equipment and storage medium

By using high frame rate stereo video acquisition and hierarchical motion feature fusion under the Bayesian probabilistic framework, the matching confusion problem in multi-target scenarios with similar appearance and high-speed motion is solved, achieving more accurate motion information acquisition and stable matching.

CN121459263AActive Publication Date: 2026-02-03TIANXIANG RUIYI
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Patent Information

Application Number
CN202511872847.3
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-12-12
Publication Date
2026-02-03
Estimated Expiration
2045-12-12

AI Technical Summary

Technical Problem

Existing stereo vision matching methods struggle to achieve accurate and robust matching in scenarios with multiple similar-looking targets and high-speed motion, and they also suffer from insufficient utilization of motion information, inadequate temporal consistency, and poor algorithm adaptability.

Method used

A synchronous velocity visual matching method is adopted. High frame rate stereo video is acquired, and the image acquisition parameters are dynamically adjusted by combining the target motion prediction model. Hierarchical motion features are extracted and fused under the Bayesian probability framework. A joint optimization energy function is constructed to establish a stable matching relationship.

Benefits of technology

It improves the ability to match and distinguish targets with similar appearances, enhances the synchronization and estimation accuracy of motion information, and strengthens the robustness and adaptability of matching.

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Abstract

The invention relates to the technical field of stereoscopic vision, and discloses a synchronous speed visual matching method and system, electronic equipment and a storage medium, and the method comprises the steps: synchronously collecting a stereoscopic video sequence with a predefined frame rate; executing multi-target hybrid tracking and motion induction detection, and outputting target motion information including position and velocity vectors; extracting hierarchical motion features of the target from continuous multiple frames of the stereoscopic video sequence, and performing unified space-time coding; under geometric constraints of stereoscopic vision, scale cosine similarity, direction similarity and trajectory consistency measurement are calculated and serve as observation evidences to be input into the probabilistic reasoning model for fusion, and a posterior probability representing matching reliability is output; the weight distribution of the speed similarity and the direction similarity is adjusted according to the motion characteristics of the targets in the scene, and the stable corresponding matching relation between the left view target and the right view target is established. According to the method, high-time-resolution information can be utilized, motion features and geometric constraints can be effectively fused, and the method has self-adaptive capacity.
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