JETIREXPLORE- Search Thousands of research papers



Published in:

Volume 7 Issue 3
March-2020
eISSN: 2349-5162

Unique Identifier

JETIR2003118

Page Number

759-763

Share This Article


Title

PUNE METRO CROWD DISTRIBUTION

ISSN

2349-5162

Cite This Article

"PUNE METRO CROWD DISTRIBUTION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 3, page no.759-763, March-2020, Available :http://www.jetir.org/papers/JETIR2003118.pdf

Abstract

People counting” in huddled places has become a vital application of the system. Crowd counting based on object detection has become terribly active analysis in recent years, that encompasses various means via computer vision, image processing, and surveillance. The data on population and human dynamics played an important role for crowd management. This task usually encounters many challenges in crowded environment, such as heavy occlusion, low resolution, imaging viewpoint variability, etc. Crowd counting by means of Image Processing involves classification of the image into patches with overlaps and use a pre- trained CNN model to extract deep features from each overlapping patch. The features extracted from the CNN model trained, shows a strong ability to represent crowd density. In this project we intend to make the passengers aware of the actual rush in each coach before arrival of the train which would give the passengers an option to choose from different coaches with variable crowd density. Hence a pleasant and comfortable journey will be promoted through this project.

Key Words

CNN, Image Processing.

Cite This Article

"PUNE METRO CROWD DISTRIBUTION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 3, page no. pp759-763, March-2020, Available at : http://www.jetir.org/papers/JETIR2003118.pdf

Publication Details

Published Paper ID: JETIR2003118
Registration ID: 229812
Published In: Volume 7 | Issue 3 | Year March-2020
DOI (Digital Object Identifier):
Page No: 759-763
ISSN Number: 2349-5162

Download Paper

Preview Article

Download Paper




Cite This Article

"PUNE METRO CROWD DISTRIBUTION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 3, page no. pp759-763, March-2020, Available at : http://www.jetir.org/papers/JETIR2003118.pdf




Preview This Article


Downlaod

Click here for Article Preview

Download PDF

Downloads

00073

Print This Page

Current Call For Paper