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   Articles with "behavior detection" as a keyword



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A Review of Computational Approaches for Human Behavior Detection

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recommendations! Published in 2018 at "Archives of Computational Methods in Engineering"

DOI: 10.1007/s11831-018-9270-7

Abstract: Computer vision techniques capable of detecting human behavior are gaining interest. Several researchers have provided their review on behavior detection, however most of the reviews are focused on activity recognition only, and reviews on gesture… read more here.

Keywords: behavior detection; recognition; human behavior; review ... See more keywords

A weakly supervised framework for abnormal behavior detection and localization in crowded scenes

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recommendations! Published in 2020 at "Neurocomputing"

DOI: 10.1016/j.neucom.2019.11.087

Abstract: Abstract In this paper, a weakly supervised framework is proposed for Abnormal Behavior Detection and Localization (ABDL) in the scenes. First, the objects in the scene such as pedestrians, vehicles, etc. are detected using the… read more here.

Keywords: abnormal behavior; weakly supervised; framework; behavior detection ... See more keywords

Real-time classroom student behavior detection based on improved YOLOv8s

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recommendations! Published in 2025 at "Scientific Reports"

DOI: 10.1038/s41598-025-99243-x

Abstract: The learning capacity of students is significantly influenced by the quality of instruction they receive in the classroom. With the rapid advancement of behavior detection technology, identifying classroom behaviors of students is becoming increasingly common… read more here.

Keywords: detection; behavior detection; classroom; real time ... See more keywords

Sheep-YOLO: a lightweight daily behavior identification and counting method for housed sheep

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recommendations! Published in 2024 at "Measurement Science and Technology"

DOI: 10.1088/1361-6501/ad9f8d

Abstract: Daily behavior detection and monitoring of sheep is crucial for assessing their health status. In recent years, computer vision has been widely used in livestock behavior detection, but it usually requires large memory and computational… read more here.

Keywords: detection; behavior detection; daily behavior; lightweight daily ... See more keywords

Big Data-Driven Abnormal Behavior Detection in Healthcare Based on Association Rules

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recommendations! Published in 2020 at "IEEE Access"

DOI: 10.1109/access.2020.3009006

Abstract: Healthcare insurance frauds are causing millions of dollars of public healthcare fund losses around the world in various ways, which makes it very important to strengthen the management of medical insurance in order to guarantee… read more here.

Keywords: behavior detection; behavior; association; healthcare ... See more keywords

Safe Deep Driving Behavior Detection (S3D)

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recommendations! Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3217644

Abstract: The human factor is one of the most critical parameters in car accidents and even traffic occurrences. Driving style affected by human factors comprises driving events (maneuvers) and driver behaviors. Driving event detection is the… read more here.

Keywords: detection s3d; driving behavior; safe deep; detection ... See more keywords
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A Review of Abnormal Behavior Detection in Activities of Daily Living

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recommendations! Published in 2023 at "IEEE Access"

DOI: 10.1109/access.2023.3234974

Abstract: Abnormal behavior detection (ABD) systems are built to automatically identify and recognize abnormal behavior from various input data types, such as sensor-based and vision-based input. As much as the attention received for ABD systems, the… read more here.

Keywords: daily living; activities daily; behavior detection; input ... See more keywords

ABDviaMSIFAT: Abnormal Crowd Behavior Detection Utilizing a Multi-Source Information Fusion Technique

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recommendations! Published in 2025 at "IEEE Access"

DOI: 10.1109/access.2024.3436007

Abstract: Detecting abnormal crowd behavior in surveillance videos is a significant challenge due to the intricate and constantly evolving crowd dynamics. To solve this issue, we suggest a new method that combines data from various sources… read more here.

Keywords: behavior detection; crowd behavior; abdviamsifat abnormal; abnormal crowd ... See more keywords

Enhanced Multi-Class Driver Behavior Detection in IoMT Environments Using Hybrid LSTM-GRU Model

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recommendations! Published in 2025 at "IEEE Access"

DOI: 10.1109/access.2025.3598005

Abstract: The global rise in traffic accidents is significantly attributed to driver distractions —as a primary safety motivator—that can lead to collisions, injuries, fatalities, and property damage. Distractions such as using cell phones, eating, drinking, and… read more here.

Keywords: detection; behavior detection; driver behavior; lstm gru ... See more keywords

ER-C3D: Enhancing R-C3-D Network With Adaptive Shrinkage and Symmetrical Multiscale for Behavior Detection

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recommendations! Published in 2024 at "IEEE Transactions on Computational Social Systems"

DOI: 10.1109/tcss.2024.3383270

Abstract: Behavior detection receives considerable attention in real-life human–computer interaction, where the complexity of background information and the variable durations of movements are two major factors affecting the accuracy of behavior detection. To overcome the inadequacy… read more here.

Keywords: behavior detection; adaptive shrinkage; network; symmetrical multiscale ... See more keywords

AJENet: Adaptive Joints Enhancement Network for Abnormal Behavior Detection in Office Scenario

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recommendations! Published in 2024 at "IEEE Transactions on Circuits and Systems for Video Technology"

DOI: 10.1109/tcsvt.2023.3295432

Abstract: With the increasing popularity of intelligent surveillance systems, abnormal behavior detection of human beings based on computer vision is attracting more attention. It aims to classify and locate the abnormal behaviors and coordinates of human… read more here.

Keywords: behavior detection; office; joints enhancement; abnormal behavior ... See more keywords