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Published in:

Volume 2 Issue 5
May-2015
eISSN: 2349-5162

Unique Identifier

JETIR1505031

Page Number

1495-1500

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Title

CROWD BEHAVIOR ANALYSIS USING FAST FEATURE

ISSN

2349-5162

Cite This Article

"CROWD BEHAVIOR ANALYSIS USING FAST FEATURE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.2, Issue 5, page no.1495-1500, May-2015, Available :http://www.jetir.org/papers/JETIR1505031.pdf

Abstract

Crowd behavior analysis is an active research topic in a video Surveillance for public security. Computer vision based approaches there are two types of behavior understanding problem: behaviors analyzer of individuals in a crowd (object- based) and using the knowledge to make deductions regarding the crowd behavior and analyze the crowd as a whole (holistic- based). In this proposed system is used holistic-based used, phase to analyze segmentation method using optical flow. Next we calculate clustering algorithm using k-means that dependence on the number of clusters (k), and the dependence on the initial choice of the clusters’ centroids. Moreover, our methodology guarantees creating high accurate clusters and defines Merging and Splitting of crowd behavior

Key Words

Video Survillence, FAST Features, k-mean Clustering

Cite This Article

"CROWD BEHAVIOR ANALYSIS USING FAST FEATURE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.2, Issue 5, page no. pp1495-1500, May-2015, Available at : http://www.jetir.org/papers/JETIR1505031.pdf

Publication Details

Published Paper ID: JETIR1505031
Registration ID: 150497
Published In: Volume 2 | Issue 5 | Year May-2015
DOI (Digital Object Identifier):
Page No: 1495-1500
ISSN Number: 2349-5162

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Cite This Article

"CROWD BEHAVIOR ANALYSIS USING FAST FEATURE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.2, Issue 5, page no. pp1495-1500, May-2015, Available at : http://www.jetir.org/papers/JETIR1505031.pdf




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