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Video-Based Automatic People Counting for Public Transport:Video-Based Automatic People Counting for Public Transport: On-Bus Versus Off-Bus Deployment

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inferredcites →https://doi.org/10.1007/s00521-021-05760-xopenalex-extracted
Appearance-based passenger counting in cluttered scenes with lateral movement compensation
inferredcites →https://doi.org/10.1007/s11042-022-12306-3openalex-extracted
Passenger flow prediction in bus transportation system using deep learning
inferredcites →https://doi.org/10.1016/j.ijleo.2019.163675openalex-extracted
Passenger flow counting in buses based on deep learning using surveillance video
inferredcites →https://doi.org/10.1016/j.knosys.2017.02.016openalex-extracted
Passenger flow estimation based on convolutional neural network in public transportation system
inferredcites →https://doi.org/10.1016/j.patrec.2017.07.007openalex-extracted
A survey of recent advances in CNN-based single image crowd counting and density estimation
inferredcites →https://doi.org/10.1016/j.trc.2015.04.021openalex-extracted
Transit passenger origin–destination flow estimation: Efficiently combining onboard survey and large automatic passenger count datasets
inferredcites →https://doi.org/10.1016/j.trc.2020.01.018openalex-extracted
Development and evaluation of a real-time pedestrian counting system for high-volume conditions based on 2D LiDAR
inferredcites →https://doi.org/10.1016/j.trc.2020.102727openalex-extracted
Estimation of left behind subway passengers through archived data and video image processing
inferredcites →https://doi.org/10.1016/j.trc.2021.103432openalex-extracted
Applications of deep learning in congestion detection, prediction and alleviation: A survey
inferredcites →https://doi.org/10.1016/j.trc.2022.103854openalex-extracted
Forecasting the crowd: An effective and efficient neural network for citywide crowd information prediction at a fine spatio-temporal scale
inferredcites →https://doi.org/10.1016/j.trc.2022.103963openalex-extracted
Estimating on-board passenger comfort in public transport vehicles using incomplete automatic passenger counting data
inferredcites →https://doi.org/10.1049/iet-its.2020.0054openalex-extracted
Hybrid model for predicting anomalous large passenger flow in urban metros
inferredcites →https://doi.org/10.1109/access.2021.3054938openalex-extracted
Real-Time Enumeration of Metro Passenger Volume Using Anchor-Free Object Detection Network on Edge Devices
inferredcites →https://doi.org/10.1109/aims52415.2021.9466044openalex-extracted
Viana Safe: Smart Safe and Secure Platform Based on CCTV Analytics in Pandemic Covid-19 Situation Use Case Railway Station
inferredcites →https://doi.org/10.1109/comst.2019.2902824openalex-extracted
Survey of Non-Image-Based Approaches for Counting People
inferredcites →https://doi.org/10.1109/cvpr.2005.177openalex-extracted
Histograms of Oriented Gradients for Human Detection
inferredcites →https://doi.org/10.1109/iccse.2012.92openalex-extracted
A Distributed PIR-based Approach for Estimating People Count in Office Environments
inferredcites →https://doi.org/10.1109/icme.2019.00145openalex-extracted
Locality-Constrained Spatial Transformer Network for Video Crowd Counting
inferredcites →https://doi.org/10.1109/icsse.2016.7551620openalex-extracted
The design and implementation of a vision-based people counting system in buses
inferredcites →https://doi.org/10.1109/ivs.2007.4290258openalex-extracted
Video Based Surround Vehicle Detection, Classification and Logging from Moving Platforms: Issues and Approaches
inferredcites →https://doi.org/10.1109/ivs.2014.6856514openalex-extracted
Video-based automatic transit vehicle ingress/egress counting using trajectory clustering
inferredcites →https://doi.org/10.1109/mipr51284.2021.00038openalex-extracted
Passenger Flow Estimation with Bipartite Matching on Bus Surveillance Cameras
inferredcites →https://doi.org/10.1109/ojits.2021.3111052openalex-extracted
A Field Study of Internet of Things-Based Solutions for Automatic Passenger Counting
inferredcites →https://doi.org/10.1109/percom.2017.7917871openalex-extracted
CeilingSee: Device-free occupancy inference through lighting infrastructure based LED sensing
inferredcites →https://doi.org/10.1109/tpami.2016.2577031openalex-extracted
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
inferredcites →https://doi.org/10.1145/2426656.2426685openalex-extracted
Tracking unmodified smartphones using wi-fi monitors
inferredcites →https://doi.org/10.1155/2014/712041openalex-extracted
Pedestrian Detection and Tracking for Counting Applications in Metro Station
inferredcites →https://doi.org/10.24963/ijcai.2018/118openalex-extracted
Crowd Counting using Deep Recurrent Spatial-Aware Network
inferredcites →https://doi.org/10.3390/s20216251openalex-extracted
Detecting, Tracking and Counting People Getting On/Off a Metropolitan Train Using a Standard Video Camera
inferredcites →https://doi.org/10.4230/oasics.ng-res.2024.2openalex-extracted
A Multi-Modal Distributed Real-Time IoT System for Urban Traffic Control (Invited Paper)
inferredcites →https://doi.org/10.5244/c.23.15openalex-extracted
3D Extended Histogram of Oriented Gradients (3DHOG) for Classification of Road Users in Urban Scenes
inferredcites →https://doi.org/10.5772/intechopen.90810openalex-extracted
Pedestrian Detection and Tracking in Video Surveillance System: Issues, Comprehensive Review, and Challenges
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