Density independent hydrodynamics model for crowd coherency detection
TLDR
The results show that DIHM achieves superior coherency detection and outperforms the compared methods in both pixel level and coherent region level average particle error rates, average coherent number error (CNE) and F-score.About:
This article is published in Neurocomputing.The article was published on 2017-06-14 and is currently open access. It has received 52 citations till now.read more
Citations
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Journal ArticleDOI
A survey of advances in vision-based vehicle re-identification
Sultan Daud Khan,Habib Ullah +1 more
TL;DR: The detail analysis of different V-reID methods in terms of mean average precision (mAP) and cumulative matching curve (CMC) provide objective insight into the strengths and weaknesses of these methods.
Proceedings ArticleDOI
Stacked Lstm Network for Human Activity Recognition Using Smartphone Data
TL;DR: A stacked long Short-term memory (LSTM) network for recognizing six human behaviors from the smartphone data and improves the average accuracy by 0.93% as compared to the closest state-of-the-art method without any manual feature engineering.
Journal ArticleDOI
Physics Inspired Methods for Crowd Video Surveillance and Analysis: A Survey
Xuguang Zhang,Qinan Yu,Hui Yu +2 more
TL;DR: The physics-inspired methods in crowd video analysis are summarized into three categories including fluid dynamics, interaction force, and complex crowd motion systems.
Journal ArticleDOI
Scale Driven Convolutional Neural Network Model for People Counting and Localization in Crowd Scenes
TL;DR: A scale driven convolutional neural network model based on the assumption that heads are the dominant and visible features regardless of the density of crowds, which outperforms the state-of-the-art methods in terms of both frame-level and pixel-level analyses.
Journal ArticleDOI
Crowd panic state detection using entropy of the distribution of enthalpy
Xuguang Zhang,Xiaohu Shu,Zhen He +2 more
TL;DR: A crowd panic state detection method is proposed according to the entropy of the distribution of enthalpy based on the results of optical flow, which shows the panic crowd motion state has higher entropy, and normal crowd state has lower entropy.
References
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Book
Navier-Stokes Equations: Theory and Numerical Analysis
TL;DR: This paper presents thediscretization of the Navier-Stokes Equations: General Stability and Convergence Theorems, and describes the development of the Curl Operator and its application to the Steady-State Naviers' Equations.
Book ChapterDOI
Two-frame motion estimation based on polynomial expansion
TL;DR: A method to estimate displacement fields from the polynomial expansion coefficients is derived and after a series of refinements leads to a robust algorithm that shows good results on the Yosemite sequence.
Journal ArticleDOI
Modeling Low Reynolds Number Incompressible Flows Using SPH
TL;DR: In this article, the smoothed particle hydrodynamics (SPH) method is extended to model incompressible flows of low Reynolds number, and the results show that the SPH results exhibit small pressure fluctuations near curved boundaries.
Proceedings ArticleDOI
Abnormal crowd behavior detection using social force model
TL;DR: A novel method to detect and localize abnormal behaviors in crowd videos using Social Force model and it is shown that the social force approach outperforms similar approaches based on pure optical flow.
Proceedings ArticleDOI
Anomaly detection in crowded scenes
TL;DR: A novel framework for anomaly detection in crowded scenes is presented and the proposed representation is shown to outperform various state of the art anomaly detection techniques.