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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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Research on human behavior recognition in video based on 3DCCA
Human behavior is an important part of video content. Therefore, the effective recognition of human behavior in the video has attracted extensive...
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Human skeleton behavior recognition model based on multi-object pose estimation with spatiotemporal semantics
Multi-object pose estimation in surveillance scenes is challenging and inaccurate due to object motion blur and pose occlusion in video data....
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Eye behavior recognition of eye–computer interaction
Eye behavior recognition has found widespread applications in augmented reality devices and simplified traditional human–computer interaction...
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A study of falling behavior recognition of the elderly based on deep learning
The current computer vision-based elderly falling behavior recognition algorithm mainly uses target detection followed by behavior recognition for a...
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Recognition of abnormal human behavior in dual-channel convolutional 3D construction site based on deep learning
Human behavior recognition has widespread applications in real life, especially in the infrastructure field. Modern engineering projects involve many...
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A survey on intelligent human action recognition techniques
Human Action Recognition is an essential research area in computer vision due to its automated nature of video monitoring. Human Action Recognition...
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Dual-branch deep learning architecture enabling miner behavior recognition
Nonstandard miner behavior can have adverse effects on coal mine safety production. Therefore, accurately capturing miner behavior in complex...
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Algorithm for Human Abnormal Behavior Recognition Based on Improved Spatial Temporal Graph Convolutional Networks
With the increasing demand for public safety, the field of abnormal human behavior recognition has undergone significant development. In addressing...
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ZoomViT: an observation behavior-based fine-grained recognition scheme
Fine-grained image recognition aims to distinguish many images with subtle differences and identify the sub-categories to which they belong....
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Student behavior recognition based on multitask learning
The assessment of students’ classroom behavior is an important part of classroom teaching evaluation. However, teachers cannot timely, objectively...
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PEC: Human-robot collaborative dataset for behavior recognition in pathology examination scenes
In recent years, the number of iterations required to complete innovative research experiments has been increasing with the advancement of biomedical...
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Decoupled 2S-AGCN Human Behavior Recognition Based on New Partition Strategy
Human skeleton point data has better environmental adaptability and motion expression ability than RGB video data. Therefore, the action recognition...
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Swin-Fusion: Swin-Transformer with Feature Fusion for Human Action Recognition
Human action recognition based on still images is one of the most challenging computer vision tasks. In the past decade, convolutional neural...
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A human activity recognition framework in videos using segmented human subject focus
Automating tasks through human activity recognition in video data has become increasingly vital. Deep learning has yielded versatile activity...
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Human Behavior Recognition Algorithm Based on HD-C3D Model
To address the problems of low recognition accuracy and long training time of the original C3D (Convolutional 3D) model, this paper proposes a...
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A Systematic Survey on Human Behavior Recognition Methods
Human behavior is an essential component of social interaction and is of great significance to identify and analyze human behaviors in a variety of...
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Heterogeneous multi-task smoking behavior recognition model combined with attention
The traditional behavior recognition model has the disadvantage that it can’t get the internal relationship between similar behaviors, such as...
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Human Event Recognition in Smart Classrooms Using Computer Vision: A Systematic Literature Review
AbstractThe field of human event recognition using visual data in smart environments has emerged as a fruitful and successful area of study, with...
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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....
