Results 11 to 20 of about 6,923,403 (242)
Abnormal Ship Behavior Detection Based on AIS Data
With the development of navigation globalization and ship dehumanization, the contradiction between the increasing demand for ship behavior supervision and limited traffic service resources is obvious, and the frequent occurrence of accidents at sea is a
Yan Shi +3 more
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The detection of abnormal lane-changing behavior in road vehicles has applications in traffic management and law enforcement. The primary approach to achieving this detection involves utilizing sensor data to characterize vehicle trajectories, extract ...
Da Xu +3 more
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Energy Level-Based Abnormal Crowd Behavior Detection
The change of crowd energy is a fundamental measurement for describing a crowd behavior. In this paper, we present a crowd abnormal detection method based on the change of energy-level distribution.
Xuguang Zhang +4 more
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Abnormal Behavior Detection Scheme of UAV Using Recurrent Neural Networks
With the development of technology and the decreasing of manufacturing costs, unmanned aerial vehicle (UAV) is considered to be one of the most effective relay to expand the communication coverage and improve the performance of cellular networks. However,
Ke Xiao +4 more
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Subspace discovery for video anomaly detection [PDF]
PhDIn automated video surveillance anomaly detection is a challenging task. We address this task as a novelty detection problem where pattern description is limited and labelling information is available only for a small sample of normal instances.
Tziakos, Ioannis
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Abnormal behavior detection based on dense trajectories [PDF]
In this paper, we propose abnormal behavior detection algorithms based on dense trajectories and principal components for video surveillance applications.
Roman Shatalin +2 more
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The wireless power terminals are deployed in harsh public places and lack strict control, facing security problems. Thus, they are faced with security problems such as illegal and counterfeit terminal access, unlawful control of connected terminals, etc.
Kehe Wu, Jiawei Li, Bo Zhang
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Unsupervised abnormal track detection method based on GRU-VAE [PDF]
Aiming at the problem of ship behavior anomaly detection based on massive track data without behavior pattern label, an unsupervised track anomaly detection method based on GRU-VAE model is proposed.
LI Lei, ZHANG Jing, OUYANG Qicheng, ZHOU Mingkang
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Abnormal crowd behavior detection based on Gaussian mixture model
Many of the state-of-the-art approaches for automatic abnormal behavior detection in crowded scenes are based on complex models which require high processing time and several parameters to be adjusted.
Rojas, Oscar Ernesto, Tozzi, Clesio Luis
core +2 more sources
Review of Multi-person Abnormal Behavior Detection Based on Deep Learning [PDF]
Content with the continuous advancement of deep learning technology, abnormal behavior detection has shifted from the traditional machine learning stage to the application of deep learning methods, and the research focus of abnormal behavior detection ...
WANG Yanjie, WANG Xiaoqiang, ZHAO Liurui, ZHUANG Xufei
doaj +1 more source

