Low-illumination sign identification and vehicle refueling behavior determination method
By combining the Retinex algorithm and the YOLO detection model, vehicle behavior recognition at gas stations under low-light conditions was achieved, solving the problems of small-scale target detection and insufficient utilization of scene spatial structure, and improving recognition accuracy and behavior understanding capabilities.
CN122336701APending Publication Date: 2026-07-03NANJING UNIV OF SCI & TECH
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- NANJING UNIV OF SCI & TECH
- Filing Date
- 2026-06-04
- Publication Date
- 2026-07-03
Smart Images

Figure CN122336701A_ABST
Abstract
This invention provides a method for recognizing low-light signs and determining vehicle refueling behavior, comprising: preprocessing input low-light video or images of gas stations based on the Retinex algorithm to output an enhanced image with optimized brightness and contrast; inputting the enhanced image into a YOLO detection model to detect and classify refueling signs and vehicles, outputting structured detection data including target category, bounding box coordinates, and recognition confidence; establishing a mapping relationship between image coordinates and real-world coordinates based on target vehicle coordinate information and homography transformation, combining the functional area division of the gas station to complete spatial constraint determination, and correcting the detection confidence to eliminate targets in unreasonable spatial locations; completing continuous frame trajectory tracking of vehicles through Kalman filtering, statistically analyzing the dwell time of vehicles in the effective refueling area, and combining vehicle type classification dynamic thresholds and spatial constraints to complete refueling behavior determination, outputting the final recognition and analysis results.
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