Introduces an optimization-based transport modeling method using traffic count data with explainable weights and controlled complexity growth to avoid overfitting.
To enable analysis of the complete environment sur-707 35 rounding the rider, this research develops methods for object detection and MOT in panoramic708 equirectangular videos
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A framework segments panoramic video into sub-images for detection, modifies multi-object tracking for boundary continuity, and applies it to vehicle overtaking detection in real cycling videos, reporting gains in precision and an F-score of 0.82.
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Data-driven transport modelling without overfit
Introduces an optimization-based transport modeling method using traffic count data with explainable weights and controlled complexity growth to avoid overfitting.
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Multiple Object Detection and Tracking in Panoramic Videos for Cycling Safety Analysis
A framework segments panoramic video into sub-images for detection, modifies multi-object tracking for boundary continuity, and applies it to vehicle overtaking detection in real cycling videos, reporting gains in precision and an F-score of 0.82.