Aug 16, 2022 · To sum up, the proposed framework is suitable for traffic equipment detection from surveillance videos and provides an inspiration for other ...
Dec 5, 2022 · Abstract— Traffic equipment detection from surveillance videos is of practical significance for temporary traffic element.
To sum up, the proposed framework is suitable for traffic equipment detection from surveillance videos and provides an inspiration for other detection tasks ...
2023. An automated learning framework with limited and cross-domain data for traffic equipment detection from surveillance videos. W Zhou, Y Liu, C Wang, Y ...
A new learning task is formulated, which can transfer knowledge learned from numerous videos in the source domain to help solve few-shot abnormality ...
Based on a detector dubbed Faster R-CNN, we propose an automated learning framework that utilizes easy-to-obtain Internet images containing traffic equipment to ...
Aug 9, 2024 · Abstract:Video Anomaly Detection (VAD) automates the identification of unusual events, such as security threats in surveillance videos.
Missing: Automated Traffic Equipment
We introduce a three-stage deep learning architecture designed to detect abnormalities in security camera videos. The first stage employs a pre-trained ...
An Automated Learning Framework With Limited and Cross-Domain Data for Traffic Equipment Detection From Surveillance Videos. Wei Zhou, Yuqing Liu, Chen Wang ...
A novel appearance-motion network for improving video-based crash detection performance in congested traffic achieves a state-of-the-art result on crash ...