[HTML][HTML] Video surveillance using deep transfer learning and deep domain adaptation: Towards better generalization

Y Himeur, S Al-Maadeed, H Kheddar… - … Applications of Artificial …, 2023 - Elsevier
Recently, developing automated video surveillance systems (VSSs) has become crucial to
ensure the security and safety of the population, especially during events involving large …

An automated learning framework with limited and cross-domain data for traffic equipment detection from surveillance videos

W Zhou, Y Liu, C Wang, Y Zhan, Y Dai… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Traffic equipment detection from surveillance videos is of practical significance for temporary
traffic element update in high-precision maps. However, there is little relative research …

A survey of deep visual cross-domain few-shot learning

W Wang, L Duan, Y Wang, J Fan, Z Gong… - arXiv preprint arXiv …, 2023 - arxiv.org
Few-Shot transfer learning has become a major focus of research as it allows recognition of
new classes with limited labeled data. While it is assumed that train and test data have the …

Advanced Intelligent Monitoring Systems for Traffic Scene Analysis and Anomaly Detection

A Mahbod - 2024 - prism.ucalgary.ca
This thesis presents an advanced Intelligent Monitoring System (IMS) specifically designed
for comprehensive traffic scene analysis and video anomaly detection. As urban …