Cargando…

Small-Scale Urban Object Anomaly Detection Using Convolutional Neural Networks with Probability Estimation

Anomaly detection in sequences is a complex problem in security and surveillance. With the exponential growth of surveillance cameras in urban roads, automating them to analyze the data and automatically identify anomalous events efficiently is essential. This paper presents a methodology to detect...

Descripción completa

Detalles Bibliográficos
Autores principales:	García-Aguilar, Iván, Luque-Baena, Rafael Marcos, Domínguez, Enrique, López-Rubio, Ezequiel
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2023
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10458462/ https://www.ncbi.nlm.nih.gov/pubmed/37631721 http://dx.doi.org/10.3390/s23167185

Ejemplares similares

Object Detection and Depth Estimation Approach Based on Deep Convolutional Neural Networks †
por: Wang, Huai-Mu, et al.
Publicado: (2021)

Convolutional Neural Networks Backbones for Object Detection
por: Benali Amjoud, Ayoub, et al.
Publicado: (2020)

One-Class Convolutional Neural Networks for Water-Level Anomaly Detection
por: Nicholaus, Isack Thomas, et al.
Publicado: (2022)

Detection of anomalies in cycling behavior with convolutional neural network and deep learning
por: Yaqoob, Shumayla, et al.
Publicado: (2023)

A Convolutional Neural Network for Improved Anomaly-Based Network Intrusion Detection
por: Al-Turaiki, Isra, et al.
Publicado: (2021)

Hierarchical Sparse Coding of Objects in Deep Convolutional Neural Networks
por: Liu, Xingyu, et al.
Publicado: (2020)

Classification of volcanic ash particles using a convolutional neural network and probability
por: Shoji, Daigo, et al.
Publicado: (2018)

Layer Embedding Analysis in Convolutional Neural Networks for Improved Probability Calibration and Classification
por: Zhang, Fan, et al.
Publicado: (2020)

FRD-CNN: Object detection based on small-scale convolutional neural networks and feature reuse
por: Li, Wei, et al.
Publicado: (2019)

On the Application of Time Frequency Convolutional Neural Networks to Road Anomalies’ Identification with Accelerometers and Gyroscopes
por: Baldini, Gianmarco, et al.
Publicado: (2020)

Detection of Appearance and Behavior Anomalies in Stationary Camera Videos Using Convolutional Neural Networks
por: Chen, H., et al.
Publicado: (2022)

Data Anomaly Detection for Structural Health Monitoring Based on a Convolutional Neural Network
por: Kim, Soon-Young, et al.
Publicado: (2023)

Advanced applied deep learning: convolutional neural networks and object detection
por: Michelucci, Umberto
Publicado: (2019)

Convolutional Neural Network for Object Detection in Garlic Root Cutting Equipment
por: Yang, Ke, et al.
Publicado: (2022)

The contribution of object identity and configuration to scene representation in convolutional neural networks
por: Tang, Kevin, et al.
Publicado: (2022)

Representing Multiple Visual Objects in the Human Brain and Convolutional Neural Networks
por: Mocz, Viola, et al.
Publicado: (2023)

Intrinsic Decomposition Method Combining Deep Convolutional Neural Network and Probability Graph Model
por: Yu, Yuanhui
Publicado: (2022)

Deep PPG: Large-Scale Heart Rate Estimation with Convolutional Neural Networks
por: Reiss, Attila, et al.
Publicado: (2019)

A convolutional neural network model of the neural responses of inferotemporal cortex to complex visual objects
por: Rohit, Satish, et al.
Publicado: (2011)

Computational Intelligence Techniques in Medicine
por: López-Rubio, Ezequiel, et al.
Publicado: (2015)

Identifying the Strength Level of Objects’ Tactile Attributes Using a Multi-Scale Convolutional Neural Network
por: Zhang, Peng, et al.
Publicado: (2022)

Cost-Sensitive Learning for Anomaly Detection in Imbalanced ECG Data Using Convolutional Neural Networks
por: Zubair, Muhammad, et al.
Publicado: (2022)

Adapting the pre-trained convolutional neural networks to improve the anomaly detection and classification in mammographic images
por: Saber, Abeer, et al.
Publicado: (2023)

Application of genetic algorithms and constructive neural networks for the analysis of microarray cancer data
por: Luque-Baena, Rafael Marcos, et al.
Publicado: (2014)

Objects Classification by Learning-Based Visual Saliency Model and Convolutional Neural Network
por: Li, Na, et al.
Publicado: (2016)

Recurrent Convolutional Neural Networks: A Better Model of Biological Object Recognition
por: Spoerer, Courtney J., et al.
Publicado: (2017)

Dual-Resolution Dual-Path Convolutional Neural Networks for Fast Object Detection
por: Pan, Jing, et al.
Publicado: (2019)

Multi-objective simulated annealing for hyper-parameter optimization in convolutional neural networks
por: Gülcü, Ayla, et al.
Publicado: (2021)

Semantic Relatedness Emerges in Deep Convolutional Neural Networks Designed for Object Recognition
por: Huang, Taicheng, et al.
Publicado: (2021)

Multi-Object Detection in Security Screening Scene Based on Convolutional Neural Network
por: Sun, Fan, et al.
Publicado: (2022)

Multiple visual objects are represented differently in the human brain and convolutional neural networks
por: Mocz, Viola, et al.
Publicado: (2023)

Convolutional neural network for efficient estimation of regional brain strains
por: Wu, Shaoju, et al.
Publicado: (2019)

Quantitative Evaluation of Plant and Modern Urban Landscape Spatial Scale Based on Multiscale Convolutional Neural Network
por: Wang, Yang, et al.
Publicado: (2021)

Corrigendum: Recurrent Convolutional Neural Networks: A Better Model of Biological Object Recognition
por: Spoerer, Courtney J., et al.
Publicado: (2018)

Convolutional Neural Networks-Based Object Detection Algorithm by Jointing Semantic Segmentation for Images
por: Qiang, Baohua, et al.
Publicado: (2020)

Using 3D Convolutional Neural Networks for Tactile Object Recognition with Robotic Palpation
por: Pastor, Francisco, et al.
Publicado: (2019)

Artificial Convolutional Neural Network in Object Detection and Semantic Segmentation for Medical Imaging Analysis
por: Yang, Ruixin, et al.
Publicado: (2021)

Artificial image objects for classification of schizophrenia with GWAS-selected SNVs and convolutional neural network
por: Chen, Xiangning, et al.
Publicado: (2021)

Comparing Object Recognition in Humans and Deep Convolutional Neural Networks—An Eye Tracking Study
por: van Dyck, Leonard Elia, et al.
Publicado: (2021)

Sunflower seeds classification based on sparse convolutional neural networks in multi-objective scene
por: Jin, Xiaowei, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_fou03crimfudt0lu6n42n8v9on