Image processing and artificial neural network for counting people inside public transport

Counting people in crowds with a real-time network of simple image sensors

Yang, Gonzalez-Banos, & Guibas (2003) · IEEE International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2003.1238325 · Cited by 245 · see citing works

Water Filling: Unsupervised People Counting via Vertical Kinect Sensor

Zhang, X., Yan, J., Feng, S., Lei, Z., Yi, D., & Li, S. Z. (2012) · IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS) · doi:10.1109/avss.2012.82 · Cited by 107 · see citing works

An Intelligent People-Flow Counting Method for Passing Through a Gate

Chen, T.-H., Chen, T.-Y., & Chen, Z. (2006) · IEEE Conference on Robotics, Automation and Mechatronics (RAM) · doi:10.1109/ramech.2006.252623 · Cited by 95 · see citing works

Detecting and counting people in surveillance applications

Liu, X., Tu, P., Rittscher, J., Perera, A. G. A., & Krahnstoever, N. O. (2006) · IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS) · doi:10.1109/avss.2005.1577286 · Cited by 81 · see citing works

A People Counting System Based on Face Detection and Tracking in a Video

Zhao, X., Delleandrea, E., & Chen, L. (2009) · IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS) · doi:10.1109/avss.2009.45 · Cited by 72 · see citing works

A people counting system based on head-shoulder detection and tracking in surveillance video

Xu, H., Lv, P., & Meng, L. (2010) · International Conference on Computer Design and Applications (ICCDA) · doi:10.1109/iccda.2010.5540833 · Cited by 70 · see citing works

Counting people by RGB or depth overhead cameras

Pizzo, L. D., Foggia, P., Greco, A., Percannella, G., & Vento, M. (2016) · Pattern Recognition Letters · doi:10.1016/j.patrec.2016.05.033 · Cited by 68 · see citing works

People Counting System for Getting In/Out of a Bus Based on Video Processing

Chen, C.-H., Chang, Y.-C., Chen, T.-Y., & Wang, D.-J. (2008) · 2008 Eighth International Conference on Intelligent Systems Design and Applications · doi:10.1109/isda.2008.335 · Cited by 58 · see citing works

People counting by learning their appearance in a multi-view camera environment

Maddalena, L., Petrosino, A., & Russo, F. (2013) · Pattern Recognition Letters · doi:10.1016/j.patrec.2013.10.006 · Cited by 55 · see citing works

A People Counting System Based on Dense and Close Stereovision

Yahiaoui, T., Meurie, C., Khoudour, L., & Cabestaing, F. (2008) · Lecture notes in computer science · doi:10.1007/978-3-540-69905-7_7 · Cited by 40 · see citing works

A robust method for detecting and counting people

Yu, S., Chen, X., Sun, W., & Xie, D. (2008) · International Conference on Audio, Language and Image Processing · doi:10.1109/icalip.2008.4590257 · Cited by 38 · see citing works

Real-time passenger counting in buses using dense stereovision

Yahiaoui, T., Khoudour, L., & Meurie, C. (2010) · Journal of Electronic Imaging · doi:10.1117/1.3455989 · Cited by 37 · see citing works

A versatile and effective method for counting people on either RGB or depth overhead cameras

Pizzo, L. D., Foggia, P., Greco, A., Percannella, G., & Vento, M. (2015) · IEEE International Conference on Multimedia & Expo Workshops (ICMEW) · doi:10.1109/icmew.2015.7169795 · Cited by 32 · see citing works

Clustering method for counting passengers getting in a bus with single camera

Yang, T., Zhang, Y., Shao, D., & Li, Y. (2010) · Optical Engineering · doi:10.1117/1.3374439 · Cited by 27 · see citing works

A Statistical Method for People Counting in Crowded Environments

Bozzoli, M., Cinque, L., & Sangineto, E. (2007) · International Conference on Image Analysis and Processing · doi:10.1109/iciap.2007.4362828 · Cited by 27 · see citing works

Image sequence analysis for counting in real time people getting in and out of a bus

Mecocci, A., Bartolini, F., & Cappellini, V. (1994) · Signal Processing · doi:10.1016/0165-1684(94)90039-6 · Cited by 17 · see citing works

Sensing Technologies for Crowd Management, Adaptation, and Information Dissemination in Public Transportation Systems: A Review

Darsena, D., Gelli, G., Iudice, I., & Verde, F. (2023) · IEEE Sensors Journal · doi:10.1109/jsen.2022.3223297 · Cited by 71 · see citing works

Convolutional Neural Network for Crowd Counting on Metro Platforms

Zhang, J., Liu, J., & Wang, Z. (2021) · Symmetry · doi:10.3390/sym13040703 · Cited by 31 · see citing works

People Detecting and Counting System

Myint, E. P., & Sein, M. M. (2021) · IEEE Global Conference on Life Sciences and Technologies (LifeTech) · doi:10.1109/lifetech52111.2021.9391951 · Cited by 19 · see citing works

A Review of Passenger Counting in Public Transport Concepts with Solution Proposal Based on Image Processing and Machine Learning

Radovan, A., Mršić, L., Đambić, G., & Mihaljević, B. (2024) · Eng · doi:10.3390/eng5040172 · Cited by 24 · see citing works

Hybrid Machine Learning Model for Face Recognition Using SVM

Yadav, A. K., Pateriya, R. K., Gupta, N. K., Gupta, P., Saini, D. K., & Alahmadi, M. (2022) · Computers, materials & continua/Computers, materials & continua (Print) · doi:10.32604/cmc.2022.023052 · Cited by 15 · see citing works

Sky Monitoring System for Flying Object Detection Using 4K Resolution Camera

Kashiyama, T., Sobue, H., & Sekimoto, Y. (2020) · Sensors · doi:10.3390/s20247071 · Cited by 12 · see citing works

Multi-Column Atrous Convolutional Neural Network for Counting Metro Passengers

Zhang, J., Zhu, G., & Wang, Z. (2020) · Symmetry · doi:10.3390/sym12040682 · Cited by 10 · see citing works

Real-Time Passenger Flow Analysis in Tram Stations Using YOLO-Based Computer Vision and Edge AI on Jetson Nano

Díaz-Santos, S., Caballero‐Gil, P., & Caballero‐Gil, C. (2025) · Computers · doi:10.3390/computers14110476 · Cited by 5 · see citing works

Literature Review of People Counting

Cahyadi, N., & Rahardjo, B. (2021) · IEEE International Conference on Artificial Intelligence and Mechatronics Systems (AIMS) · doi:10.1109/aims52415.2021.9466029 · Cited by 4 · see citing works

Prototype of Urban Transport Passenger Accounting System

Morozov, R., Nicheporchuk, V., & Perevalov, I. (2023) · Transportation research procedia · doi:10.1016/j.trpro.2023.02.063 · Cited by 4 · see citing works

Counting People Using Images from Two Low Cost Webcams

Hung, P. D. (2019) · Lecture notes in computer science · doi:10.1007/978-3-030-35653-8_48 · Cited by 3 · see citing works

Automatic Counting Passenger System Using Online Visual Appearance Multi-Object Tracking

Calle, J., Sagastiberri, I., Aramburu, M., Cerezo, S., & García, J. (2022) · Advances in Science Technology and Engineering Systems Journal · doi:10.25046/aj070514 · Cited by 2 · see citing works

Automated Recognition and Control of Human Interaction by Video Image

Ulyev, A. D., Donsckaia, A., & Zubkov, A. V. (2023) · Proceedings of the Southwest State University Series IT Management Computer Science Computer Engineering Medical Equipment Engineering · doi:10.21869/2223-1536-2023-13-2-45-64 · Cited by 2 · see citing works

Light Rail Transit (LRT) Passenger Management System Using Image Processing Algorithm with Raspberry Pi and Multiple Cameras

Paulme, D. M., Perez, M., & Sese, J. T. (2021) · Lecture notes in networks and systems · doi:10.1007/978-3-030-90318-3_57 · Cited by 1 · see citing works

Real-Time Vehicle Detection and Tracking System Using Cascade Classifier and Background Subtractor

Verma, P., Verma, K., Singh, A., Sundaram, A. K., & Bramhe, V. S. (2023) · Algorithms for intelligent systems · doi:10.1007/978-981-19-7892-0_34 · Cited by 1 · see citing works

Social Distance Approximation on Public Transport Using Stereo Depth Camera and Passenger Pose Estimation

Bell, D. S., James, P., & López‐García, M. (2023) · Sensors · doi:10.3390/s23249665 · Cited by 1 · see citing works

Design and Implementation of Efficient Public Transport System Using Raspberry Pi

Chiwande, S. S., Nipane, P., Bakre, H., Raut, P., Badole, P., & Nagdeote, S. (2024) · International Conference on Intelligent Cyber Physical Systems and Internet of Things (ICoICI) · doi:10.1109/icoici62503.2024.10696348 · Cited by 1 · see citing works

Crowd Analysis in Public Transport Based on Face Detection

Chauhan, J., Chordiya, S., Bhatia, R., Genge, S., & Barad, R. (2021) · Algorithms for intelligent systems · doi:10.1007/978-981-15-6707-0_66

Railway Safety and Security using Image Processing and IOT

Telsang, M. S. S. (2021) · International Journal for Research in Applied Science and Engineering Technology · doi:10.22214/ijraset.2021.34669

A DC Grid-Connected PV Microgrid Regulated via Digital and MBPC Cascade Control Strategies

Sánchez-Gutiérrez, E., & Orellana, S. J. R. (2022) · Advances in Science Technology and Engineering Systems Journal · doi:10.25046/aj070513

Intelligent System for Monitoring the Availability of Bus Passenger Seats using the YOLO Method

Nabilah, A., Hadi, M. Z. S., & Pratiarso, A. (2023) · International Electronics Symposium (IES) · doi:10.1109/ies59143.2023.10242592

Sensor Networks as a Support Mechanism in Intelligent Transportation Systems

Pop, M.-D., & Ramasamy, V. (2024) · Studies in systems, decision and control · doi:10.1007/978-3-031-62158-1_5

Enhancing Privacy: Using Blurred Images with MobileNet SSD

Martins, F., Baras, K., & Marques, E. (2025) · Lecture notes in computer science · doi:10.1007/978-3-032-05176-9_30

An Improved Architecture for Automatic People Counting in Public Transport using Deep Learning

Curiel, G., Guerrero, K., Gómez, D., & Charris, D. (2023) · IEEE Colombian Caribbean Conference (C3) · doi:10.1109/c358072.2023.10436152 · Cited by 2 · see citing works

Low-cost in-bus people counting system for the reordering of urban passenger traffic based on artificial vision and neural networks

Recalde, G., Gregor, D. O., Britez, D., & Arzamendia, M. (2021) · IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies (CHILECON) · doi:10.1109/chilecon54041.2021.9703018 · Cited by 4 · see citing works

Diseño e implementación de un sistema de conteo de personas para seguridad del transporte colectivo utilizando visión artificial.

Chisaguano, P. A. C. (2017) · Repositorio Institucional de la Universidad de las Fuerzas Armadas ESPE (Universidad de las Fuerzas Armadas ESPE)

Use of Deep Learning Methods for People Counting in Public Transport

Baumann, D., Sommer, M., Schrempp, Y., & Sax, E. (2022) · International Conference on Connected Vehicles and Expo · doi:10.1109/iccve52871.2022.9742924 · Cited by 6 · see citing works

Counting people getting in and out of a bus by real-time image-sequence processing

Bartolini, F., Cappellini, V., & Mecocci, A. (1994) · Image and Vision Computing · doi:10.1016/0262-8856(94)90053-1 · Cited by 34 · see citing works