Crowd Analysis in Video Surveillance: A Review

Single-Image Crowd Counting via Multi-Column Convolutional Neural Network

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Cross-scene crowd counting via deep convolutional neural networks

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Multi-source Multi-scale Counting in Extremely Dense Crowd Images

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Composition Loss for Counting, Density Map Estimation and Localization in Dense Crowds

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Learning From Synthetic Data for Crowd Counting in the Wild

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Towards Perspective-Free Object Counting with Deep Learning

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A survey of recent advances in CNN-based single image crowd counting and density estimation

Sindagi, V. A., & Patel, V. M. (2017) · Pattern Recognition Letters · doi:10.1016/j.patrec.2017.07.007 · Cited by 634 · see citing works

Crowded Scene Analysis: A Survey

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Anomaly detection with density estimation

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Crowd Counting via Scale-Adaptive Convolutional Neural Network

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Vehicular traffic, crowds, and swarms: From kinetic theory and multiscale methods to applications and research perspectives

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Plug-and-Play CNN for Crowd Motion Analysis: An Application in Abnormal Event Detection

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Density Map Regression Guided Detection Network for RGB-D Crowd Counting and Localization

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Recent survey on crowd density estimation and counting for visual surveillance

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Perspective-Guided Convolution Networks for Crowd Counting

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Wide-Area Crowd Counting via Ground-Plane Density Maps and Multi-View Fusion CNNs

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Convolutional neural networks for crowd behaviour analysis: a survey

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An evaluation of crowd counting methods, features and regression models

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Locality-Constrained Spatial Transformer Network for Video Crowd Counting

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Pushing the Frontiers of Unconstrained Crowd Counting: New Dataset and Benchmark Method

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Revisiting crowd behaviour analysis through deep learning: Taxonomy, anomaly detection, crowd emotions, datasets, opportunities and prospects

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A facial expression recognition system using robust face features from depth videos and deep learning

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Crowd Scene Understanding from Video

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Advances and trends in visual crowd analysis: A systematic survey and evaluation of crowd modelling techniques

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Density-Aware Multi-Task Learning for Crowd Counting

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Digital Revolution for Hajj Crowd Management: A Technology Survey

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Computer vision based crowd disaster avoidance system: A survey

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Crowd counting with crowd attention convolutional neural network

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Crossing-Line Crowd Counting with Two-Phase Deep Neural Networks

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Emotion-relevant activity recognition based on smart cushion using multi-sensor fusion

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ST-CNN: Spatial-Temporal Convolutional Neural Network for crowd counting in videos

Miao, Y., Han, J., Gao, Y., & Zhang, B. (2019) · Pattern Recognition Letters · doi:10.1016/j.patrec.2019.04.012 · Cited by 66 · see citing works

A Deeply-Recursive Convolutional Network For Crowd Counting

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Indoor Crowd Counting by Mixture of Gaussians Label Distribution Learning

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Object Detection From Videos Captured by Moving Camera by Fuzzy Edge Incorporated Markov Random Field and Local Histogram Matching

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

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Crowd density estimation based on classification activation map and patch density level

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Crowd Counting With Limited Labeling Through Submodular Frame Selection

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Near Real-time Crowd Counting using Deep Learning Approach

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Learning Multimodal Deep Representations for Crowd Anomaly Event Detection

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Optical Flow Dataset and Benchmark for Visual Crowd Analysis

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NWPU-Crowd: A Large-Scale Benchmark for Crowd Counting.Preprint

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Real-time people counting for indoor scenes

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Group Activity Recognition with Differential Recurrent Convolutional Neural Networks

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Computational Study of Primitive Emotional Contagion in Dyadic Interactions

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Drone-based Joint Density Map Estimation, Localization and Tracking with Space-Time Multi-Scale Attention NetworkPreprint

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Emotion-Based Crowd Representation for Abnormality DetectionPreprint

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Vehicle theft recognition from surveillance video based on spatiotemporal attention

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Region-based facial representation for real-time Action Units intensity detection across datasets

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Counting People Based on Linear, Weighted, and Local Random Forests

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LRCN-RetailNet: A recurrent neural network architecture for accurate people counting

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Bilateral counting network for single-image object counting

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Posture and Gesture Analysis Supporting Emotional Activity Recognition

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Design and Analysis of a Lightweight Context Fusion CNN Scheme for Crowd Counting

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A Survey of Video Surveillance Systems in Smart City

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Physician-Friendly Machine Learning: A Case Study with Cardiovascular Disease Risk Prediction

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Breakdown of Machine Learning Algorithms

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A Machine Learning Tutorial for Operational Meteorology. Part I: Traditional Machine Learning

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A Review on Machine Learning & It’s Algorithms

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Introduction to supervised machine learning in clinical epidemiology

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