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@article{bb206956,
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        BIBSOURCE = "http://www.visionbib.com/bibliography/motion-f732.html#TT202308"}

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        BIBSOURCE = "http://www.visionbib.com/bibliography/motion-f732.html#TT202309"}

@article{bb206958,
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@article{bb206960,
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@article{bb206961,
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@article{bb206962,
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        TITLE = "Forecasting Public Transit Use by Crowdsensing and Semantic
Trajectory Mining: Case Studies",
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@article{bb206963,
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        TITLE = "Automated analysis of pedestrian walking behaviour at a signalised
intersection in China",
        JOURNAL = IET-ITS,
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@article{bb206964,
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        TITLE = "Pedestrian Counting With Back-Propagated Information and Target Drift
Remedy",
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@article{bb206965,
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        TITLE = "Laser-Based Bidirectional Pedestrian Counting via Height Map Guided
Regression and Voting",
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@article{bb206966,
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        TITLE = "Evaluation framework for mobile ticketing applications in public
transit: a case study",
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@article{bb206967,
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        TITLE = "Stochastic collective model of public transport passenger arrival
process",
        JOURNAL = IET-ITS,
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@article{bb206968,
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@article{bb206969,
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        TITLE = "On Access Control in Cabin-Based Transport Systems",
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        BIBSOURCE = "http://www.visionbib.com/bibliography/motion-f732.html#TT202321"}

@article{bb206970,
        AUTHOR = "Denman, S. and Fookes, C. and Yarlagadda, P.K.D.V. and Sridharan, S.",
        TITLE = "Scene Invariant Virtual Gates Using DNNs",
        JOURNAL = CirSysVideo,
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        BIBSOURCE = "http://www.visionbib.com/bibliography/motion-f732.html#TT202322"}

@article{bb206971,
        AUTHOR = "Sun, S. and Akhtar, N. and Song, H. and Zhang, C. and Li, J. and Mian, A.",
        TITLE = "Benchmark Data and Method for Real-Time People Counting in Cluttered
Scenes Using Depth Sensors",
        JOURNAL = ITS,
        VOLUME = "20",
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        PAGES = "3599-3612",
        BIBSOURCE = "http://www.visionbib.com/bibliography/motion-f732.html#TT202323"}

@article{bb206972,
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        TITLE = "Forecasting Short-Term Passenger Flow: An Empirical Study on Shenzhen
Metro",
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        PAGES = "3613-3622",
        BIBSOURCE = "http://www.visionbib.com/bibliography/motion-f732.html#TT202324"}

@inproceedings{bb206973,
        AUTHOR = "Cholakkal, H. and Sun, G. and Khan, F.S. and Shao, L.",
        TITLE = "Object Counting and Instance Segmentation With Image-Level Supervision",
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        BIBSOURCE = "http://www.visionbib.com/bibliography/motion-f732.html#TT202325"}

@article{bb206974,
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        TITLE = "Evaluation of the Space Syntax Measures Affecting Pedestrian Density
through Ordinal Logistic Regression Analysis",
        JOURNAL = IJGI,
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        BIBSOURCE = "http://www.visionbib.com/bibliography/motion-f732.html#TT202326"}

@article{bb206975,
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@inproceedings{bb206976,
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@inproceedings{bb206977,
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        TITLE = "Counting Out Time:
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@article{bb206978,
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@article{bb206979,
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        TITLE = "Passenger inflow control with hierarchical coordination for overloaded
metro lines",
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@article{bb206980,
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        TITLE = "Towards Better Railway Service: Passengers Counting in Railway
Compartment",
        JOURNAL = CirSysVideo,
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@article{bb206981,
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        TITLE = "A two-stage method for bus passenger load prediction using automatic
passenger counting data",
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        BIBSOURCE = "http://www.visionbib.com/bibliography/motion-f732.html#TT202333"}

@article{bb206982,
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        TITLE = "OTP-NMS: Toward Optimal Threshold Prediction of NMS for Crowded
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        TITLE = "Modeling the Pedestrian Flow Before Bottleneck Through Learning-Based
Method",
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@article{bb206984,
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        TITLE = "Regularized Spatial-Temporal Graph Convolutional Networks for Metro
Passenger Flow Prediction",
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@article{bb206985,
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and Shares' Distributions: A Case Study on Pedestrian Counts in a
Multimodal Transport Hub",
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@article{bb206986,
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        TITLE = "Passenger Location Estimation in Public Transport: Evaluating Methods
and Camera Placement Impact",
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        BIBSOURCE = "http://www.visionbib.com/bibliography/motion-f732.html#TT202338"}

@article{bb206987,
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        TITLE = "Identify Optimal Pedestrian Flow Forecasting Methods in Great Britain
Retail Areas: A Comparative Study of Time Series Forecasting on a
Footfall Dataset",
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        YEAR = "2025",
        NUMBER = "2",
        PAGES = "50",
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@article{bb206988,
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        TITLE = "Inference of Transit Alighting From Automatic Boarding Count Data: A
Double DQN Clustering",
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        MONTH = "June",
        PAGES = "8209-8218",
        BIBSOURCE = "http://www.visionbib.com/bibliography/motion-f732.html#TT202340"}

@article{bb206989,
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@article{bb206990,
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Attack on Vibration Energy Harvesting Wearables",
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for Bus Passenger Detection",
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@article{bb206992,
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@article{bb206993,
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Length Dynamics Inspired by Self-Similarity",
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@inproceedings{bb206994,
        AUTHOR = "Zhu, X.H. and Xu, J. and Wang, B.J. and Dai, H.K. and Lu, H.",
        TITLE = "Video Individual Counting with Implicit One-to-Many Matching",
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@inproceedings{bb206995,
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System Based on an Improved Deep Learning Human Body Recognition
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@inproceedings{bb206996,
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@inproceedings{bb206997,
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@inproceedings{bb206998,
        AUTHOR = "Wan, C.L. and Huang, F.K. and Shuai, H.H.",
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Video People Flux Estimation",
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@inproceedings{bb206999,
        AUTHOR = "Nunez, J. and Li, Z. and Escalera, S. and Nasrollahi, K.",
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