A convolutional neural‐network‐based pedestrian counting model for various crowded scenes
Published 2019 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
A convolutional neural‐network‐based pedestrian counting model for various crowded scenes
Authors
Keywords
-
Journal
COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
Volume -, Issue -, Pages -
Publisher
Wiley
Online
2019-05-09
DOI
10.1111/mice.12454
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Forecasting Pedestrian Movements Using Recurrent Neural Networks: An Application of Crowd Monitoring Data
- (2019) Dorine Duives et al. SENSORS
- Deep Transfer Learning for Image-Based Structural Damage Recognition
- (2018) Yuqing Gao et al. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
- End-to-End Deep Learning Methodology for Real-Time Traffic Network Management
- (2018) Hossein Hashemi et al. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
- Deep Learning for Accelerated Seismic Reliability Analysis of Transportation Networks
- (2018) Mohammad Amin Nabian et al. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
- A Fast Detection Method via Region-Based Fully Convolutional Neural Networks for Shield Tunnel Lining Defects
- (2018) Yadong Xue et al. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
- A novel unsupervised deep learning model for global and local health condition assessment of structures
- (2018) Mohammad Hossein Rafiei et al. ENGINEERING STRUCTURES
- Body Structure Aware Deep Crowd Counting
- (2018) Siyu Huang et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- Regional parallel structure based CNN for thermal infrared face identification
- (2018) Peng Wang et al. INTEGRATED COMPUTER-AIDED ENGINEERING
- Vehicle type detection by ensembles of convolutional neural networks operating on super resolved images
- (2018) Miguel A. Molina-Cabello et al. INTEGRATED COMPUTER-AIDED ENGINEERING
- A survey of recent advances in CNN-based single image crowd counting and density estimation
- (2018) Vishwanath A. Sindagi et al. PATTERN RECOGNITION LETTERS
- Estimation of crowd density applying wavelet transform and machine learning
- (2018) Koki Nagao et al. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
- Deep Convolutional Framelets: A General Deep Learning Framework for Inverse Problems
- (2018) Jong Chul Ye et al. SIAM Journal on Imaging Sciences
- Pedestrian detection in far infrared images
- (2018) Daniel Olmeda et al. INTEGRATED COMPUTER-AIDED ENGINEERING
- A scalable approach based on deep learning for big data time series forecasting
- (2018) J.F. Torres et al. INTEGRATED COMPUTER-AIDED ENGINEERING
- Layer multiplexing FPGA implementation for deep back-propagation learning
- (2017) Francisco Ortega-Zamorano et al. INTEGRATED COMPUTER-AIDED ENGINEERING
- Image recognition with deep neural networks in presence of noise – Dealing with and taking advantage of distortions
- (2017) Michał Koziarski et al. INTEGRATED COMPUTER-AIDED ENGINEERING
- Social network model for crowd anomaly detection and localization
- (2017) Rima Chaker et al. PATTERN RECOGNITION
- A novel machine learning-based algorithm to detect damage in high-rise building structures
- (2017) Mohammad Hossein Rafiei et al. STRUCTURAL DESIGN OF TALL AND SPECIAL BUILDINGS
- A novel passenger flow prediction model using deep learning methods
- (2017) Lijuan Liu et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- Crowd Counting via Weighted VLAD on Dense Attribute Feature Maps
- (2016) Biyun Sheng et al. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY
- An adaptive people counting system with dynamic features selection and occlusion handling
- (2016) Zeyad Q.H. Al-Zaydi et al. JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION
- Kinect-Based Pedestrian Detection for Crowded Scenes
- (2015) Xiaofeng Chen et al. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
- Fast crowd density estimation with convolutional neural networks
- (2015) Min Fu et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- Deep learning
- (2015) Yann LeCun et al. NATURE
- Congestion detection of pedestrians using the velocity entropy: A case study of Love Parade 2010 disaster
- (2015) Lida Huang et al. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
- A Configurable Agent-Based Crowd Model with Generic Behavior Effect Representation Mechanism
- (2014) Quanbin Sun et al. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
- Modeling framework for optimal evacuation of large-scale crowded pedestrian facilities
- (2014) Ahmed Abdelghany et al. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
- Learning Collective Crowd Behaviors with Dynamic Pedestrian-Agents
- (2014) Bolei Zhou et al. INTERNATIONAL JOURNAL OF COMPUTER VISION
- Collecting pedestrian trajectories
- (2012) Maik Boltes et al. NEUROCOMPUTING
- Hough Forests for Object Detection, Tracking, and Action Recognition
- (2011) J. Gall et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Pedestrian Detection: An Evaluation of the State of the Art
- (2011) P. Dollar et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Cycling to work in 90 large American cities: new evidence on the role of bike paths and lanes
- (2011) Ralph Buehler et al. TRANSPORTATION
- Walking and Cycling to Health: A Comparative Analysis of City, State, and International Data
- (2010) John Pucher et al. AMERICAN JOURNAL OF PUBLIC HEALTH
- Pedestrian Detection and Tracking in an Urban Environment Using a Multilayer Laser Scanner
- (2010) Samuel Gidel et al. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
- Object Detection with Discriminatively Trained Part-Based Models
- (2009) P F Felzenszwalb et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Model-Free Video Detection and Tracking of Pedestrians and Bicyclists
- (2008) Yegor Malinovskiy et al. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
- Waiting time in emergency evacuation of crowded public transport terminals
- (2007) W.K. Chow et al. SAFETY SCIENCE
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now