Results 251 to 260 of about 22,245,183 (290)

On the efficacy of texture analysis for crowd monitoring

Proceedings SIBGRAPI'98. International Symposium on Computer Graphics, Image Processing, and Vision (Cat. No.98EX237), 2002
The goal of this work is to assess the efficacy of texture measures for estimating levels of crowd densities in images. This estimation is crucial for the problem of crowd monitoring and control. The assessment is carried out on a set of nearly 300 real images captured from Liverpool Street Train Station, London, UK, using texture measures extracted ...
Aparecido Nilceu Marana, Luciano da F. Costa, Roberto de Alencar Lotufo, Sergio A. Velastin   +3 more
openaire   +2 more sources

Statistical video analysis for crowds counting

2009 16th IEEE International Conference on Image Processing (ICIP), 2009
This paper presents an approach to count the number of people that enters or leaves metro trains. This is a challenging scenario where usually people crowd around the train doors, and therefore it is not possible a direct approach that segments and counts individuals.
Antonio Albiol, Alberto Albiol, Julia Silla   +2 more
openaire   +2 more sources

Modeling Crowd Flow for Video Analysis of Crowded Scenes

2013
In this chapter, we describe a comprehensive framework for modeling and exploiting the crowd flow to analyze videos of densely crowded scenes. Our key insight is to model the characteristic patterns of motion that arise within local space-time regions of the video and then to identify and encode the statistical and temporal variation of those motion ...
Ko Nishino, Louis Kratz
openaire   +1 more source

A biclustering approach for crowd judgment analysis

Proceedings of the Second ACM IKDD Conference on Data Sciences, 2015
Collection of multiple annotations from the crowd workers is useful for diverse applications. In this paper, the problem of obtaining the final judgment from such crowd-based annotations has been addressed in an unsupervised way using a biclustering-based approach.
Sujoy Chatterjee, Malay Bhattacharyya 0001   +1 more
openaire   +1 more source

Coherent Crowd Analysis in Still Image

2019 IEEE 21st International Workshop on Multimedia Signal Processing (MMSP), 2019
Collective behaviour of coherent groups conveys the semantic relations among individuals in a crowd scene. However, classically, crowd analysis in still image is either focused on crowd counting estimation or crowd segmentation only. In this paper, we present a novel framework that merges these two classical approaches together as one to achieve a ...
Nurul Japar, Chee Seng Chan, Ven Jyn Kok
openaire   +2 more sources

Crowd Dynamics Analysis

Understanding crowd dynamics in densely populated public spaces, such as city centers, stadiums, and transit hubs, is vital for ensuring public safety and efficient management. The complexities of crowded environments introduce various challenges, including traffic congestion, overcrowding, and potential safety hazards.
Harshita Chourasia, Neha Tiwari, Shraddha Raut, Anansingh Thinakaran, Anirudh A. Bhagwat   +4 more
openaire   +1 more source

A survey of crowd counting and density estimation based on convolutional neural network

Neurocomputing, 2022
Zizhu Fan, Yudong Zhang, Guangming Lu
exaly  

Crowd demographic analysis

2022
UR SHMUEL, ARDITI ORI, PALIOV ILAN, KARPELES SHAY   +3 more
openaire   +2 more sources

NWPU-Crowd: A Large-Scale Benchmark for Crowd Counting and Localization

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021
Qi Wang, Xuelong Li, Junyu Gao
exaly  

Scale-aware CNN for crowd density estimation and crowd behavior analysis

Computers and Electrical Engineering, 2022
Vipul Sharma, Roohie Naaz Mir, Chandrapal Singh   +2 more
openaire   +2 more sources