UGC Approved Journal no 63975

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 6 Issue 6
June-2019
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIRDC06020


Registration ID:
221812

Page Number

118-121

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Title

AERIAL SURVEILLANCE AND MONITORING USING COMPUTER VISION

Abstract

With the advent of new technologies there’s a great threat to information and hence, security to a system plays a crucial role these days. Monitoring a large event, a protest, or even an individual, drones - unmanned aerial vehicles can provide the team with the overview they need to maintain control. UAV monitoring systems provide a number of benefits to users focused on public safety and civil security. This paper covers the capturing, detection and tracking the path of a drone and tracking by detection method used to track the multiple objects visual motion by detecting the objects in the frames and observing the track throughout the entire frame and with the help of deep learning(subset of machine learning) techniques. This method gives high efficient tracking and considers longer term connectivity between pairs of detections and models similarities as well as dissimilarities between the object’s position, colour and visual motion. We present the Hungarian method which gives a better performance and solves the problem of occlusion occurred.

Key Words

Hungarian Algorithm, Image processing, Kalman filters, unmanned aerial vehicle.

Cite This Article

"AERIAL SURVEILLANCE AND MONITORING USING COMPUTER VISION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.118-121, June 2019, Available :http://www.jetir.org/papers/JETIRDC06020.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"AERIAL SURVEILLANCE AND MONITORING USING COMPUTER VISION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp118-121, June 2019, Available at : http://www.jetir.org/papers/JETIRDC06020.pdf

Publication Details

Published Paper ID: JETIRDC06020
Registration ID: 221812
Published In: Volume 6 | Issue 6 | Year June-2019
DOI (Digital Object Identifier):
Page No: 118-121
Country: Chennai, Tamil Nadu, India .
Area: Engineering
ISSN Number: 2349-5162


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