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

Good features to track

Shi, J., & Tomasi (1994) · Proceedings of IEEE Conference on Computer Vision and Pattern Recognition CVPR-94 · doi:10.1109/cvpr.1994.323794 · Cited by 7,724 · see citing works

Detection and Tracking of Point Features

Tomasi, C. (1991) · Cited by 2,228 · see citing works

A texture-based method for modeling the background and detecting moving objects

Heikkilä, M., & Pietikäinen, M. (2006) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2006.68 · Cited by 1,249 · see citing works

Privacy preserving crowd monitoring: Counting people without people models or tracking

Chan, A. B., Liang, J., & Vasconcelos, N. M. (2008) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2008.4587569 · Cited by 1,198 · see citing works

Multicamera People Tracking with a Probabilistic Occupancy Map

Fleuret, F., Berclaz, J., Lengagne, R., & Fua, P. (2007) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2007.1174 · Cited by 823 · see citing works

Counting Crowded Moving Objects

Rabaud, V., & Belongie, S. (2006) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2006.92 · Cited by 417 · see citing works

Unsupervised Bayesian Detection of Independent Motion in Crowds

Brostow, G., & Cipolla, R. (2006) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2006.320 · Cited by 408 · see citing works

Shape and Motion from Image Streams: a Factorization Method—Part 3 Detection and Tracking of Point Features Technical Report CMU-CS-91-132

Tomasi, C., & Kanade, T. (1991) · Cited by 406 · see citing works

A Viewpoint Invariant Approach for Crowd Counting

Kong, D., Gray, D. A., & Hai, T. (2006) · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition · doi:10.1109/icpr.2006.197 · Cited by 255 · see citing works

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

Real-Time Multiple Objects Tracking with Occlusion Handling in Dynamic Scenes

Yang, T., Li, S. Z., Pan, Q., & Li, J. (2005) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2005.292 · Cited by 207 · see citing works

Real-Time Dense Stereo for Intelligent Vehicles

vanderMark, W., & Gavrila, D. M. (2006) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2006.869625 · Cited by 172 · see citing works

Estimating pedestrian counts in groups

Kilambi, P., Ribnick, E., Joshi, A. J., Masoud, O., & Papanikolopoulos, N. P. (2007) · Computer Vision and Image Understanding · doi:10.1016/j.cviu.2007.02.003 · Cited by 127 · see citing works

Pedestrian Detection and Tracking for Counting Applications in Crowded Situations

Sidla, O., Lypetskyy, Y., Brändle, N., & Seer, S. (2006) · IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS) · doi:10.1109/avss.2006.91 · Cited by 93 · 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

Automatic Counting of Interacting People by using a Single Uncalibrated Camera

Velipasalar, S., Tian, Y., & Hampapur, A. (2006) · IEEE International Conference on Multimedia and Expo (ICME) · doi:10.1109/icme.2006.262768 · Cited by 54 · 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

Real-Time System for Counting the Number of Passing People Using a Single Camera

Kim, J.-W., Choi, K. S., Choi, B.-D., Lee, J. Y., & Ko, S.-J. (2003) · Lecture notes in computer science · doi:10.1007/978-3-540-45243-0_60 · Cited by 26 · see citing works

A vision-based method to estimate passenger flow in bus

Yu, H., He, Z., & Liu, J. (2007) · International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS) · doi:10.1109/ispacs.2007.4445972 · Cited by 15 · 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

Estimation of the Number of Passengers in a Bus Using Deep Learning

Hsu, Y.-W., Chen, Y.-W., & Perng, J.-W. (2020) · Sensors · doi:10.3390/s20082178 · Cited by 41 · see citing works

A Field Study of Internet of Things-Based Solutions for Automatic Passenger Counting

McCarthy, C. D., Moser, I., Jayaraman, P. P., Ghaderi, ‬., Tan, A. M., Yavari, A., Mehmood, U., Simmons, M. D., Weizman, Y., Georgakopoulos, D., et al. (2021) · IEEE Open Journal of Intelligent Transportation Systems · doi:10.1109/ojits.2021.3111052 · Cited by 34 · see citing works

Passenger Occupancy Estimation in Vehicles: A Review of Current Methods and Research Challenges

Kuchár, P., Pirník, R., Janota, A., Malobický, B., Kubík, J., & Šišmišová, D. (2023) · Sustainability · doi:10.3390/su15021332 · Cited by 30 · see citing works

Flight Performance Analysis of an Image Processing Algorithm for Integrated Sense-and-Avoid Systems

Forlenza, L., Fasano, G., Accardo, D., & Moccia, A. (2012) · International Journal of Aerospace Engineering · doi:10.1155/2012/542165 · Cited by 25 · see citing works

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

Chato, P., Chipantasi, D. J. M., Velasco, N., Rea, S., Hallo, V., & Constante, P. (2018) · 2018 IEEE Third Ecuador Technical Chapters Meeting (ETCM) · doi:10.1109/etcm.2018.8580287 · Cited by 23 · 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

Review of Automatic Passenger Counting Systems in Public Urban Transport

Grgurević, I., Juršić, K., & Rajič, V. (2022) · EAI/Springer Innovations in Communication and Computing · doi:10.1007/978-3-030-67241-6_1 · Cited by 17 · see citing works

Robust Background Subtraction Based Person’s Counting From Overhead View

Ahmad, M., Ahmed, I., Ullah, K., Khan, I., & Adnan, A. (2018) · IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON) · doi:10.1109/uemcon.2018.8796595 · Cited by 16 · see citing works

Low‐cost bus seating information technology system

Murdan, A. P., Bucktowar, V., Oree, V., & Enoch, M. (2020) · IET Intelligent Transport Systems · doi:10.1049/iet-its.2019.0529 · Cited by 15 · see citing works

Smart Passenger Information System Based On IoT

Diyasa, I. G. S. M., Purbasari, I. Y., Setiawan, A., & Winardi, S. (2019) · TRON Symposium (TRONSHOW) · doi:10.23919/tronshow48796.2019.9166143 · Cited by 12 · see citing works

Scene Invariant Crowd Counting and Crowd Occupancy Analysis

Ryan, D., Denman, S., Sridharan, S., & Fookes, C. (2012) · Studies in computational intelligence · doi:10.1007/978-3-642-28598-1_6 · Cited by 9 · see citing works

Unconventional Public Transport Anonymous Data Collection employing Artificial Intelligence

Minea, M. G., Dumitrescu, C. M., & CHIVA, I.-C. (2019) · International Conference on Electronics, Computers and Artificial Intelligence (ECAI) · doi:10.1109/ecai46879.2019.9041957 · Cited by 8 · see citing works

An Indirect Occupancy Detection and Occupant Counting System Using Motion Sensors

Luo, D., Lǚ, J., & Guo, G. (2017) · SAE technical papers on CD-ROM/SAE technical paper series · doi:10.4271/2017-01-1442 · Cited by 6 · see citing works

Using BLE Signals to Estimate Objective and Subjective Crowdedness Levels on Fixed-Route Buses

Ikenaga, T., Matsuda, Y., Goto, I., Ueda, K., Suwa, H., & Yasumoto, K. (2025) · IEEE Access · doi:10.1109/access.2025.3558988 · Cited by 4 · see citing works

Video-based automatic transit vehicle ingress/egress counting using trajectory clustering

Cheng, G., Huang, Y., Mirzaei, A., Buckles, B. P., & Yang, H. (2014) · IEEE Intelligent Vehicles Symposium · doi:10.1109/ivs.2014.6856514 · Cited by 4 · see citing works

Crowd Estimation Using Image Processing Based on Gray Scale Edge Histogram in Subway Station of Beijing

Li, D., Lin, Z., & Sun, Y. (2013) · International Conference on Measuring Technology and Mechatronics Automation (ICMTMA) · doi:10.1109/icmtma.2013.104 · Cited by 3 · see citing works

Framework for Passenger Seat Availability Using Face Detection in Passenger BusPreprint

Islam, K., & Afzal, U. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2007.05906 · Cited by 3 · see citing works

Development and feasibility evaluation of a low cost smart voyage data recorder: Marine Black Box

Abir, I. K., Rashid, M. T., Zaman, H. B., Hassan, M. H., Rafique, R., & Rhaman, M. K. (2015) · IEEE International Conference on Control System, Computing and Engineering · doi:10.1109/iccsce.2015.7482210 · Cited by 2 · see citing works

Automatic Object Tracking in Aerial Videos via Spatial-temporal Feature Clustering

Tong, X., Zhang, Y., Yang, T., & Ma, W. (2013) · Lecture notes in computer science · doi:10.1007/978-3-642-42057-3_11 · Cited by 2 · see citing works

The Comparison of Crowd Counting Algorithms based on Computer Vision

Wang, Z., Deng, Q., & Zhao, Y. (2019) · Journal of Physics Conference Series · doi:10.1088/1742-6596/1187/4/042012 · Cited by 1 · see citing works

Research on the Bus Passenger Motion Vector Algorithm Based on Video Image

Xiang, H. K., & Cheng, L. (2014) · Applied Mechanics and Materials · doi:10.4028/www.scientific.net/amm.623.149

People Matching for Transportation Planning Using Optimized Features and Texel Camera Data for Sequential Estimation

Wang, Z. (2021) · Digital Commons - USU (Utah State University) · doi:10.26076/d8e8-180b

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

Passenger counting in minivan-taxis using crowd-sourcing and hierarchical clustering

Adjaidoo, T.-S., Akowuah, E. K., Obeng, D. A., Dzisi, E. K. J., & Ackaah, W. (2021) · Scientific African · doi:10.1016/j.sciaf.2021.e00842

Deep Neural Networks for Passengers’ Density Estimation and Face Mask Detection for COVID-19 in Public Transportation Services

Hasimoto-Beltrán, R., Eufracio, O., & Calderon-Damian, B. (2022) · Intelligent systems reference library · doi:10.1007/978-3-031-06307-7_2

Public Transportation Occupancy Rate

Silva, P. F., Campos, J., Matos, J., Salgado, J. A., Salazar, C., Costa, H., Portela, F., & Carneiro, D. (2023) · EAI/Springer Innovations in Communication and Computing · doi:10.1007/978-3-031-30514-6_16 · Cited by 1 · see citing works

Video-based automatic transit vehicle ingress/egress counting using trajectory clustering

Cheng, G., Huang, Y., Mirzaei, A., Buckles, B. P., & Yang, H. (2014) · IEEE Intelligent Vehicles Symposium · doi:10.1109/ivs.2014.6856514 · Cited by 4 · see citing works

A bus passenger flow estimation method based on feature point's trajectory clustering

Yuan (2010) · doi:10.1109/icicisys.2010.5658589 · Cited by 3 · 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

Appearance-based passenger counting in cluttered scenes with lateral movement compensation

Sutopo, R., Lim, J. M.-Y., Baskaran, V. M., Wong, K., Massimo Tistarelli, A., & Liau, H. F. (2021) · Neural Computing and Applications · doi:10.1007/s00521-021-05760-x · Cited by 7 · 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