Crowd emotion evaluation based on fuzzy inference of arousal and valence

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Real-Time Facial Affective Computing on Mobile Devices

(2020) Yuanyuan Guo et al.   SENSORS

MobileCount: An Efficient Encoder-Decoder Framework for Real-Time Crowd Counting

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

(2020) Francisco Luque Sánchez et al.   Information Fusion

Scene perception guided crowd anomaly detection

(2020) Xuguang Zhang et al.   NEUROCOMPUTING

Semantic head enhanced pedestrian detection in a crowd

(2020) Ruiqi Lu et al.   NEUROCOMPUTING

Attentive multi-stage convolutional neural network for crowd counting

(2020) Ming Zhu et al.   PATTERN RECOGNITION LETTERS

Droplet size prediction in a microfluidic flow focusing device using an adaptive network based fuzzy inference system

(2020) Sina Mottaghi et al.   BIOMEDICAL MICRODEVICES

Learning crowd behavior from real data: A residual network method for crowd simulation

(2020) Zhenzhen Yao et al.   NEUROCOMPUTING

Two-branch fusion network with attention map for crowd counting

(2020) Yongjie Wang et al.   NEUROCOMPUTING

SCLNet: Spatial context learning network for congested crowd counting

(2020) Shunzhou Wang et al.   NEUROCOMPUTING

Parallel Computation of 3D Clipped Voronoi Diagrams

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An emotion based simulation framework for complex evacuation scenarios

(2019) Yan Mao et al.   GRAPHICAL MODELS

Transportation hazard spatial analysis using crowd-sourced social network data

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The simulation of queueing time in crowd evacuation by discrete time loss queuing method

(2019) Jun Hu et al.   INTERNATIONAL JOURNAL OF MODERN PHYSICS C

Facial Expression Recognition Based on a Hybrid Model Combining Deep and Shallow Features

(2019) Xiao Sun et al.   Cognitive Computation

A data-driven path planning model for crowd capacity analysis

(2019) Sing Kuang Tan et al.   Journal of Computational Science

Detection of Salient Crowd Motion Based on Repulsive Force Network and Direction Entropy

(2019) Xuguang Zhang et al.   Entropy

A low dimensional descriptor for detection of anomalies in crowd videos

(2019) Tehreem Qasim et al.   MATHEMATICS AND COMPUTERS IN SIMULATION

Crowd panic state detection using entropy of the distribution of enthalpy

(2019) Xuguang Zhang et al.   PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS

Crowd Abnormal Event Detection Based on Sparse Coding

(2019) Chunsheng Guo et al.   International Journal of Humanoid Robotics

Dynamics of emotional contagion in dense pedestrian crowds

(2019) Tengfei Xu et al.   PHYSICS LETTERS A

A Deep Spatiotemporal Perspective for Understanding Crowd Behavior

(2018) Yuke Li   IEEE TRANSACTIONS ON MULTIMEDIA

Energy Level-Based Abnormal Crowd Behavior Detection

(2018) Xuguang Zhang et al.   SENSORS

Dual-channel CNN for efficient abnormal behavior identification through crowd feature engineering

(2018) Yuanping Xu et al.   MACHINE VISION AND APPLICATIONS

Arousal, valence, and volume: how the influence of online review characteristics differs with respect to utilitarian and hedonic products

(2018) Jie Ren et al.   EUROPEAN JOURNAL OF INFORMATION SYSTEMS

Exploring Coherent Motion Patterns via Structured Trajectory Learning for Crowd Mood Modeling

(2017) Yanhao Zhang et al.   IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY

Anomaly detection in crowded scenes using motion energy model

(2017) Tianyu Chen et al.   MULTIMEDIA TOOLS AND APPLICATIONS

Anomaly detection via short local trajectories

(2017) Sovan Biswas et al.   NEUROCOMPUTING

Density independent hydrodynamics model for crowd coherency detection

(2017) Habib Ullah et al.   NEUROCOMPUTING

Social networking sites use and the morphology of a social-semantic brain network

(2017) Ofir Turel et al.   Social Neuroscience

ViBe: A Universal Background Subtraction Algorithm for Video Sequences

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