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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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Efficient abnormal event detection in video using deep attention based bidirectional lstm with a mayfly optimization
Abnormal event detection is a challenging issue in video surveillance, and it is quite necessary for detecting suspicious behaviour in the normal...
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Abnormal event detection in surveillance videos based on multi-scale feature and channel-wise attention mechanism
Abnormal event detection is a challenging task, due to object scale variation, impact of background and anomaly defined differently in different...
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Multi-property Tensor-Based Learning for Abnormal Event Detection
In this paper, we propose a novel abnormal event detection scheme for video surveillance systems using an unsupervised learning process. Our...
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Complex event recognition and anomaly detection with event behavior model
The concept of complex event processing refers to the process of tracking and analyzing a set of related events and drawing conclusions from them....
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Abnormal event detection by variation matching
Recently, surveillance systems have been widely used to analyze video recordings captured by surveillance cameras and to detect abnormal or irregular...
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Event log anomaly detection method based on auto-encoder and control flow
Anomaly detection is widely used in the field of business process management, and researchers have proposed various anomaly detection algorithms to...
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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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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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Dual-Channel Autoencoder with Key Region Feature Enhancement for Video Anomalous Event Detection
Video anomaly event detection is crucial for analyzing surveillance videos. Existing methods have limitations: frame-level detection fails to remove...
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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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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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Exploring current research trends in sound event detection: a systematic literature review
Sound Event Detection (SED) plays a significant role in the present research, implemented in several areas such as Computer Science, Healthcare,...
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A two-stream abnormal detection using a cascade of extreme learning machines and stacked auto encoder
Identifying anomalous activity is a heavy task, and this has led to the progression in the domain of deep learning for video surveillance. With the...
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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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Performance evaluation of convolution neural network models for detection of abnormal and ventricular ectopic beat cardiac episodes
The fast and accurate detection of abnormal cardiac episodes is essential for quick diagnosis high-risk patients prone to irregular cardiac...
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Abnormal human activity detection by convolutional recurrent neural network using fuzzy logic
In automated video surveillance applications, detecting abnormal human activity is incredibly difficult to classify them. The automatic detection of...
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Joint Spatio-temporal representation based efficient video event detection using and BMCIM model
In recent days, video analytics has become an inevitable research area in surveillance video due to the surveillance cameras placed everywhere and...
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Event detection in surveillance videos: a review
Since 2008, a variety of systems have been designed to detect events in security cameras. There are also more than a hundred journal articles and...
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Generalized durative event detection on social media
Given the recent availability of large volumes of social media discussions, finding temporal unusual phenomena, which can be called events, from such...
