Abnormal Behavior Recognition Based on Key Points of Human Skeleton
Sign Up to like & getrecommendations! Published in 2020 at "IFAC-PapersOnLine"
DOI: 10.1016/j.ifacol.2021.04.120
Abstract: Abstract Human action recognition is one of the most popular fields of computer vision. However, the traditional manual feature-based method, with large background interference, can hardly establish an accurate human model and the deep learning-based… read more here.
Keywords: abnormal behavior; behavior recognition; recognition; key points ... See more keywords
Attention-Based Convolutional and Recurrent Neural Networks for Driving Behavior Recognition Using Smartphone Sensor Data
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2932434
Abstract: Driving behavior recognition is a challenging task that exploits the acceleration and angular velocity information of the vehicle collected by smartphone to identify various driving events. Traditional methods usually extract hand-crafted features from raw data,… read more here.
Keywords: behavior recognition; smartphone; recurrent neural; sensor data ... See more keywords
Behavior Recognition Based on Category Subspace in Crowded Videos
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DOI: 10.1109/access.2020.3043412
Abstract: Crowd behavior refers to a collective behavior composed of two or more individuals who influence, interact, and depend on each other for a specific goal. Compared with an ordinary crowd behavior, the probability of a… read more here.
Keywords: category; crowd behavior; behavior recognition; multi label ... See more keywords
Human Behavior Recognition Based on Multiscale Convolutional Neural Network
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2022.3209816
Abstract: The key problem in human behavior recognition is how to build a spatiotemporal feature extraction and classification network. Aiming at the problem that the existing channel attention mechanism directly pools the global average information of… read more here.
Keywords: neural network; network; behavior; human behavior ... See more keywords
Campus Abnormal Behavior Recognition With Temporal Segment Transformers
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3266440
Abstract: The intelligent campus surveillance system is beneficial to improve safety in school. Abnormal behavior recognition, a field of action recognition in computer vision, plays an essential role in intelligent surveillance systems. Computer vision has been… read more here.
Keywords: recognition; campus abnormal; behavior recognition; abnormal behavior ... See more keywords
Indoor Human Behavior Recognition Method Based on Wavelet Scattering Network and Conditional Random Field Model
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2023.3276023
Abstract: Ultrawideband (UWB) through-the-wall radar (TWR) can be used for indoor human behavior recognition via micro-Doppler information. However, faced with weak micro-Doppler features and low accuracy, conventional recognition method does not perform well in shielded environment.… read more here.
Keywords: recognition; recognition method; human behavior; behavior recognition ... See more keywords
Bidirectional Posture-Appearance Interaction Network for Driver Behavior Recognition
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2021.3123127
Abstract: Driver behavior recognition has become one of the most important tasks for intelligent vehicles. This task, however, is very challenging since the background contents in real-world driving scenarios are often very complex. More critically, the… read more here.
Keywords: network; posture; driver behavior; appearance ... See more keywords
Cross-spectral human behavior recognition based on deep convolutional networks for global temporal representation
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Electronic Imaging"
DOI: 10.1117/1.jei.32.1.011209
Abstract: Abstract. The purpose of behavior recognition is to recognize the actions of the human body in action. It plays a great role in surveillance, video recommendation, and human-computer interaction with video. With the rise of… read more here.
Keywords: recognition; cross spectral; behavior recognition; spectral human ... See more keywords
Abnormal behavior recognition based on feature fusion C3D network
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Electronic Imaging"
DOI: 10.1117/1.jei.32.2.021605
Abstract: Abstract. The real-time detection and recognition ability of human action recognition in a video surveillance system is a key problem in an intelligent surveillance system. Because the behavior recognition for video surveillance systems is affected… read more here.
Keywords: recognition; network; feature fusion; feature ... See more keywords
A Prediction Model Analysis of Behavior Recognition Based on Genetic Algorithm and Neural Network
Sign Up to like & getrecommendations! Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/3552908
Abstract: With the extensive application of virtual technology and simulation algorithm, motion behavior recognition is widely used in various fields. The original neural network algorithm cannot solve the problem of data redundancy in behavior recognition, and… read more here.
Keywords: recognition; neural network; genetic algorithm; behavior recognition ... See more keywords
Research on Athlete Behavior Recognition Technology in Sports Teaching Video Based on Deep Neural Network
Sign Up to like & getrecommendations! Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/7260894
Abstract: In recent years, due to the simple design idea and good recognition effect, deep learning method has attracted more and more researchers' attention in computer vision tasks. Aiming at the problem of athlete behavior recognition… read more here.
Keywords: recognition; neural network; athlete behavior; behavior recognition ... See more keywords