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CViT: A Convolution Vision Transformer for Video Abnormal Behavior Detection and Localization
Video anomaly detection is a critical task because of the rare, irregular, and unbounded nature of abnormal events. Currently, most approaches only...
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Abnormal behavior detection algorithm based on multi-branch convolutional fusion neural network
The recognition of abnormal behavior in surveillance video is the focus of current research, which has high research value and broad application...
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A Driver Abnormal Behavior Detection Method Based on Improved YOLOv7 and OpenPose
The current driver’s abnormal behavior detection is interfered with by complex backgrounds, body self-obscuring, and other factors leading to low...
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Abnormal behavior detection using streak flow acceleration
The goal of abnormal behavior detection is to detect an anomalous event in video as accurate as possible. Motion information is crucial in such case...
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Supervised abnormal event detection based on ChatGPT attention mechanism
Aiming at the problem of abnormal target occlusion and unclearness caused by insufficient light and different shooting angles during abnormal event...
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Detecting Abnormal Vehicle Behavior: A Clustering-Based Approach
The increase in connected and autonomous functionality is increasing the potential for cyberattacks. However, the amount of data generated,...
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Intelligent abnormal behavior detection using double sparseness method
Intelligent detection of abnormal behaviors meets the need of engineering applications for identifying anomalies and alerting operators. However,...
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An algorithm for abnormal behavior recognition based on sharing human target tracking features
Human behavior recognition is a hot research topic in the field of computer vision, and a complete behavior recognition usually includes human...
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A hybrid CNN and LSTM-based deep learning model for abnormal behavior detection
Traditional cameras can only record videos passively. If the camera can further automatically recognize human behavior and activity, it can...
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Identification of Abnormal Behavior in Activities of Daily Life Using Novelty Detection
The world population is aging at a rapid pace. According to the WHO (World Health Organization), from 2015 to 2050, the proportion of elderly people...
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Video Abnormal Behavior Detection Based on Human Skeletal Information and GRU
Video abnormal behavior detection is an important research direction in the field of computer vision and has been widely used in surveillance video....
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Research on Abnormal Identification of User Behavior Data on Sports Mobile Education Platform
To address the problems of high error rate in feature extraction, low abnormal recognition rate, and long recognition time in traditional methods for...
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Fusion of LSTM and RNN for Abnormal Activity Detection from CCTV Camera Feeds
Video surveillance is widely utilized in both public and private settings for observation and monitoring purposes, making it a prominent application...
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Recognition Method of Abnormal Behavior in Electric Power Violation Monitoring Video Based on Computer Vision
In order to improve the accuracy of abnormal behavior recognition in electric power illegal behavior monitoring, a method of abnormal behavior...
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Detection of Abnormal Crowd Behavior Based on ViBE and Optical Flow Methods
With the rapid development of computer vision and image processing technology, the detection of abnormal behavior in video has gradually attracted...
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MTM-net: a multidimensional two-stage memory-guided network for vedio abnormal detection
Video anomaly detection is a very challenging task in the field of computer vision. In this paper, we propose a multidimensional two-stage...
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A Survey on Blockchain Abnormal Transaction Detection
Blockchain technology has undergone rapid development in recent years, transactions on Blockchains, represented by prominent examples such as Bitcoin...
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A two-stage virtual machine abnormal behavior-based anomaly detection mechanism
Virtual machine abnormal behavior detection is an effective way to help cloud platform administrators monitor the running status of cloud platform to...
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Exploring Opportunities to Identify Abnormal Behavior of Data Center Users Based on Machine Learning Models
AbstractThe article describes the main provisions of the proposed method of identifying abnormal behavior of data center users, which uses machine...
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Detecting abnormal behavior in megastore for crime prevention using a deep neural architecture
The popularity of employing neural networks in diverse academic, scientific endeavors, and industrial applications is on the rise. In addition to...
