LightAnomalyNet: A Lightweight Framework for Efficient Abnormal Behavior Detection [PDF]
Sensors, 2021 The continuous development of intelligent video surveillance systems has increased the demand for enhanced vision-based methods of automated detection of anomalies within various behaviors found in video scenes.
Abid Mehmood
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Ship Abnormal Behavior Detection Method Based on Optimized GRU Network
Journal of Marine Science and Engineering, 2022 Ship abnormal behavior detection is an essential part of maritime supervision. It can assist maritime departments to conduct real-time supervision on a certain sea area, avoid ship risks, and improve the efficiency of sea area supervision.
Hongdan Liu +3 more
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Indoor Abnormal Behavior Detection for the Elderly: A Review [PDF]
SensorsDue to the increased age of the global population, the proportion of the elderly population continues to rise. The safety of the elderly living alone is becoming an increasingly prominent area of concern.
Tianxiao Gu, Min Tang
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Unsupervised Detection of Abnormal Electricity Consumption Behavior Based on Feature Engineering
IEEE Access, 2020 The detection of abnormal electricity consumption behavior has been of great importance in recent years. However, existing research often focuses on algorithm improvement and ignores the process of obtaining features.
Wei Zhang +4 more
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Abnormal Crowd Behavior Detection Using Motion Information Images and Convolutional Neural Networks
IEEE Access, 2020 We introduce a novel method for abnormal crowd event detection in surveillance videos. Particularly, our work focuses on panic and escape behavior detection that may appear because of violent events and natural disasters.
Cem Direkoglu
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Deep Learning for Abnormal Crowd Behavior Detection:A Review [PDF]
Jisuanji kexue, 2021 With the increasing demand of security industry,abnormal crowd behavior detection has become a hot research issue in computer vision.Abnormal crowd behavior detection aims to model and analyze the behavior of pedestrians in surveillance videos ...
XU Tao, TIAN Chong-yang, LIU Cai-hua
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A two-stage detection algorithm for abnormal behavior in smart construction site based on FCOS
Zhejiang dianli, 2023 The existing classical object detection algorithm cannot satisfactorily detect abnormal behavior of operators at smart construction sites for its low accuracy.
ZHU Qiang +3 more
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Abnormal Behavior Detection over Normal Data and Abnormal-augmented Data in Crowded Scenes [PDF]
Journal of Artificial Intelligence and Data Mining, 2022 In this article, we consider the problems of abnormal behavior detection in a high-crowded environment. One of the main issues in abnormal behavior detection is the complexity of the structure patterns between the frames.
V. Fazel Asl, B. Karasfi, B. Masoumi
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A New Method of Pedestrian Abnormal Behavior Detection Based on Attention Guidance
Advances in Multimedia, 2022 In public places, some behavior that violates public order and endangers public safety is defined as abnormal behavior. Moreover, it is a necessary auxiliary means to maintain public order and safety by detecting abnormal behavior in a large number of ...
Jingui Huang, Jingyi Li, Wenya Wu
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Abnormal Driving Behavior Detection Method Based on Adaptive Gamma Correction [PDF]
Jisuanji gongcheng, 2023 To address the problems of low detection accuracy and slow detection speed of heavy truck driver abnormal driving behavior detection methods under low illumination conditions, an abnormal driving behaviors detection method based on adaptive Gamma ...
Qingsong AI, Haozhe ZHANG, Junwei YAN
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