Review on deep learning approaches for anomaly event detection in video surveillance
In the last few years, due to the continuous advancement of technology, human behavior
detection and recognition have become important scientific research in the field of computer …
detection and recognition have become important scientific research in the field of computer …
An analysis of artificial intelligence techniques in surveillance video anomaly detection: A comprehensive survey
Surveillance cameras have recently been utilized to provide physical security services
globally in diverse private and public spaces. The number of cameras has been increasing …
globally in diverse private and public spaces. The number of cameras has been increasing …
Real-time multi-class helmet violation detection using few-shot data sampling technique and yolov8
Traffic safety is a major global concern. Helmet usage is a key factor in preventing head
injuries and fatalities caused by motorcycle accidents. However, helmet usage violations …
injuries and fatalities caused by motorcycle accidents. However, helmet usage violations …
The 7th ai city challenge
Abstract The AI City Challenge's seventh edition emphasizes two domains at the intersection
of computer vision and artificial intelligence-retail business and Intelligent Traffic Systems …
of computer vision and artificial intelligence-retail business and Intelligent Traffic Systems …
An automatic image processing algorithm based on crack pixel density for pavement crack detection and classification
Nowadays, there is a massive necessity to develop fully automated and efficient distress
assessment systems to evaluate pavement conditions with the minimum cost. Due to having …
assessment systems to evaluate pavement conditions with the minimum cost. Due to having …
[HTML][HTML] Deep learning based detection and localization of road accidents from traffic surveillance videos
Real-world traffic surveillance videos need continuous supervision to monitor and take
appropriate actions in case of fatal accidents. However, continuously monitoring them with …
appropriate actions in case of fatal accidents. However, continuously monitoring them with …
Deep video anomaly detection: Opportunities and challenges
Anomaly detection is a popular and vital task in various research contexts, which has been
studied for several decades. To ensure the safety of people's lives and assets, video …
studied for several decades. To ensure the safety of people's lives and assets, video …
Uncovering What Why and How: A Comprehensive Benchmark for Causation Understanding of Video Anomaly
Video anomaly understanding (VAU) aims to automatically comprehend unusual
occurrences in videos thereby enabling various applications such as traffic surveillance and …
occurrences in videos thereby enabling various applications such as traffic surveillance and …
Design, implementation, and evaluation of a roadside cooperative perception system
Recently, with the advancement in autonomous driving, artificial intelligence, and vehicle-to-
everything (V2X) communications, cooperative perception between roadway infrastructure …
everything (V2X) communications, cooperative perception between roadway infrastructure …
A region-based deep learning approach to automated retail checkout
M Shoman, A Aboah, A Morehead… - Proceedings of the …, 2022 - openaccess.thecvf.com
Automating the product checkout process at conventional retail stores is a task poised to
have large impacts on society generally speaking. Towards this end, reliable deep learning …
have large impacts on society generally speaking. Towards this end, reliable deep learning …