Suchergebnisse - Inter-fused autoencoder

Abnormal Crowd Behaviour Detection in Surveillance Videos Using Spatiotemporal Inter-Fused Autoencoder

Quelle: International Journal of Intelligent Engineering and Systems. 16:470-481

Unsupervised anomalous event detection in videos using spatio-temporal inter-fused autoencoder

Autoren: Nazia Aslam Maheshkumar H Kolekar

Quelle: Multimedia Tools and Applications. 81:42457-42482

Schlagwörter: 03 medical and health sciences, 0302 clinical medicine, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Abnormal Crowd Behaviour Detection in Surveillance Videos Using Spatiotemporal Inter-Fused Autoencoder.

Autoren: Sampath, Dhivya Karunya Kumar, Krishna

Quelle: International Journal of Intelligent Engineering & Systems; 2023, Vol. 16 Issue 6, p470-481, 12p

Schlagwörter: VIDEO surveillance, CONVOLUTIONAL neural networks, PEDESTRIAN areas

Unsupervised anomalous event detection in videos using spatio-temporal inter-fused autoencoder.

Autoren: Aslam, Nazia Kolekar, Maheshkumar H

Quelle: Multimedia Tools & Applications; Dec2022, Vol. 81 Issue 29, p42457-42482, 26p

Schlagwörter: ARTIFICIAL neural networks, CONVOLUTIONAL neural networks, VIDEO coding, VIDEO codecs, FEATURE extraction, VIDEOS, VIDEO surveillance, DEEP learning

DeMAAE: deep multiplicative attention-based autoencoder for identification of peculiarities in video sequences.

Autoren: Aslam, Nazia Kolekar, Maheshkumar H.

Quelle: Visual Computer; Mar2024, Vol. 40 Issue 3, p1729-1743, 15p

Schlagwörter: DEEP learning, VIDEO coding, VIDEO codecs, VIDEOS

Channel Attention-Based Approach with Autoencoder Network for Human Action Recognition in Low-Resolution Frames.

Autoren: Dastbaravardeh, Elaheh Askarpour, Somayeh Saberi Anari, Maryam et al.

Quelle: International Journal of Intelligent Systems; 1/4/2024, p1-22, 22p

Schlagwörter: CONVOLUTIONAL neural networks, HUMAN behavior, COMPUTATIONAL complexity, STATISTICAL sampling, ALGORITHMS

A swin transformer-based hybrid reconstruction discriminative network for image anomaly detection.

Autoren: Jin, Jin Xu, Yuanping He, Hui et al.

Quelle: Scientific Reports; 9/30/2025, Vol. 15 Issue 1, p1-19, 19p

Schlagwörter: TRANSFORMER models, OUTLIER detection, CONVOLUTIONAL neural networks, INDUSTRIAL applications, MACHINE learning, IMAGE reconstruction

YOLO v7 - Distance Intersection of Union for Detecting Objects and Anomalies in Video Surveillance.

Autoren: Kalla, Kiran Gogulamanda, Jaya Suma

Quelle: International Journal of Intelligent Engineering & Systems; 2025, Vol. 18 Issue 1, p335-344, 10p

Schlagwörter: CONVOLUTIONAL neural networks, FEATURE extraction, VIDEO surveillance, CRIME prevention, PUBLIC safety

Violence and panic abnormal behaviour recognition in crowded environment using spatio-temporal aggregator based machine learning model.

Autoren: Valarmathi, V. Sudha, S.

Quelle: Signal, Image & Video Processing; Dec2025, Vol. 19 Issue 15, p1-12, 12p

Detection algorithm of container surface leakage based on improved YOLOv5s.

Autoren: Zhu, Wei Zhu, Hongmei Li, Cheng et al.

Quelle: Multimedia Tools & Applications; May2025, Vol. 84 Issue 16, p17117-17138, 22p

Schlagwörter: DETECTION algorithms, SOAP, PYRAMIDS, LEAKAGE, ALGORITHMS

Multimodal anomaly detection in complex environments using video and audio fusion.

Autoren: Wang, Yuanyuan Zhao, Yijie Huo, Yanhua et al.

Quelle: Scientific Reports; 5/10/2025, Vol. 15 Issue 1, p1-22, 22p

Schlagwörter: ARTIFICIAL intelligence, ANOMALY detection (Computer security), FEATURE extraction, IMAGE processing, VIDEO processing, DEEP learning

Enhancing Surveillance Video Abnormal Behavior Detection Using Deep Convolutional Generative Adversarial Network With GRU Model.

Autoren: Kasegn, Setegn Asnakew Mwangi, Ronald Waweru Kimwele, Michael et al.

Quelle: Engineering Reports; May2025, Vol. 7 Issue 5, p1-21, 21p

Schlagwörter: GENERATIVE adversarial networks, VIDEO surveillance, FEATURE extraction, VIDEOS

X2_PDDVnet: An Explainable AI Based Dual Path Dense Dilated Vision Transformer Network Based Anomaly Detection.

Autoren: K., Shameem Akthar Priya, K. Lakshmi

Quelle: Journal Européen des Systèmes Automatisés; Apr2025, Vol. 58 Issue 4, p669-687, 19p

Schlagwörter: CONVOLUTIONAL neural networks, ARTIFICIAL intelligence, TRANSFORMER models, ANOMALY detection (Computer security), PUBLIC safety, INTRUSION detection systems (Computer security), VIDEO surveillance

Analyzing Crowd Behavior in Highly Dense Crowd Videos Using 3D ConvNet and Multi-SVM.

Autoren: Elmezain, Mahmoud Maklad, Ahmed S. Alwateer, Majed et al.

Quelle: Electronics (2079-9292); Dec2024, Vol. 13 Issue 24, p4925, 20p

Schlagwörter: COLLECTIVE behavior, CONVOLUTIONAL neural networks, BEHAVIORAL assessment, CROWDS

MACHINE LEARNING-BASED HUMAN RESOURCE MANAGEMENT INFORMATION RETRIEVAL AND CLASSIFICATION ALGORITHM.

Autoren: WEN LI XIUKAO ZHOU

Quelle: Scalable Computing: Practice & Experience; Nov2024, Vol. 25 Issue 6, p5431-5440, 10p

Schlagwörter: MACHINE learning, PERSONNEL management, CLASSIFICATION algorithms, INDUSTRIAL relations, INFORMATION resources

A2SN: attention based two stream network for sports video classification.

Autoren: Ray, Abhisek Aslam, Nazia Kolekar, Maheshkumar H

Quelle: Multimedia Tools & Applications; Aug2024, Vol. 83 Issue 28, p72131-72151, 21p

Schlagwörter: ARTIFICIAL neural networks, SPORTS films, DIGITAL technology, CLASSIFICATION, LEARNING modules

A PREDICTIVE ANOMALY ALGORITHMS ON SPATIO-TEMPORAL TRAFFIC FLOW-ENABLED INTERNET OF THINGS.

Autoren: Joy, Agboi Abel, Edje E. Edith, Omede U. et al.

Quelle: Science World Journal; 2024, Vol. 19 Issue 3, p778-789, 12p

Schlagwörter: COMPUTER network traffic, CONVOLUTIONAL neural networks, INTERNET traffic, INTERNET speed, STANDARD deviations

Deep Learning for Abnormal Human Behavior Detection in Surveillance Videos—A Survey.

Autoren: Wastupranata, Leonard Matheus Kong, Seong G. Wang, Lipo

Quelle: Electronics (2079-9292); Jul2024, Vol. 13 Issue 13, p2579, 35p

Schlagwörter: VIDEO surveillance, HUMAN behavior, DEEP learning, LEARNING, STREAMING video & television, PUBLIC safety

Cross-domain person re-identification with normalized and enhanced feature.

Autoren: Jia, Zhaoqian Wang, Wenchao Li, Ye et al.

Quelle: Multimedia Tools & Applications; May2024, Vol. 83 Issue 18, p56077-56101, 25p

Schlagwörter: PROBLEM solving, PEDESTRIANS, GENERALIZATION

Fake-checker: A fusion of texture features and deep learning for deepfakes detection.

Autoren: Huda, Noor ul Javed, Ali Maswadi, Kholoud et al.

Quelle: Multimedia Tools & Applications; May2024, Vol. 83 Issue 16, p49013-49037, 25p

Schlagwörter: DEEPFAKES, MACHINE learning, GENERATIVE adversarial networks, DEEP learning, SOCIAL media, PRINCIPAL components analysis, CONVOLUTIONAL neural networks