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Survey on AIAOD: Advanced Intelligent Abandoned Object Detection

Sonali A. Hargude1 , S. R. Idate2

Section:Survey Paper, Product Type: Journal Paper
Volume-4 , Issue-3 , Page no. 5-9, Mar-2016

Online published on Mar 30, 2016

Copyright © Sonali A. Hargude , S. R. Idate . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Sonali A. Hargude , S. R. Idate, “Survey on AIAOD: Advanced Intelligent Abandoned Object Detection,” International Journal of Computer Sciences and Engineering, Vol.4, Issue.3, pp.5-9, 2016.

MLA Style Citation: Sonali A. Hargude , S. R. Idate "Survey on AIAOD: Advanced Intelligent Abandoned Object Detection." International Journal of Computer Sciences and Engineering 4.3 (2016): 5-9.

APA Style Citation: Sonali A. Hargude , S. R. Idate, (2016). Survey on AIAOD: Advanced Intelligent Abandoned Object Detection. International Journal of Computer Sciences and Engineering, 4(3), 5-9.

BibTex Style Citation:
@article{Hargude_2016,
author = {Sonali A. Hargude , S. R. Idate},
title = {Survey on AIAOD: Advanced Intelligent Abandoned Object Detection},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {3 2016},
volume = {4},
Issue = {3},
month = {3},
year = {2016},
issn = {2347-2693},
pages = {5-9},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=818},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=818
TI - Survey on AIAOD: Advanced Intelligent Abandoned Object Detection
T2 - International Journal of Computer Sciences and Engineering
AU - Sonali A. Hargude , S. R. Idate
PY - 2016
DA - 2016/03/30
PB - IJCSE, Indore, INDIA
SP - 5-9
IS - 3
VL - 4
SN - 2347-2693
ER -

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Abstract

Object detection and tracking is a very challenging task in image processing. This paper discusses about various object detection and tracking methods for crowded area such as airports, railway stations, shopping malls, residential apartment . Three major steps in video surveillance analysis are detection of moving objects, track those objects from frame to frame and recognise behaviours of those track objects to find out for suspicious activity detection. This paper mainly highlights the various object detection, object representation and object tracking techniques which are performed by different researchers in the past. This survey focused on different object detection using - background subtraction, fuzzy logic, temporal logic, hadoop, via temporal consistency modelling, nonflat static objects detection, abandoned detection of object in real time environments, detection of object on the basis of 3-dimensional image information. The usage of object tracking is for public safety, for efficient traffic management on roads , to fight against crime and terrorism.

Key-Words / Index Term

Abandoned Object Detection, Surveillance Systems, Fuzzy Logic, Temporal Logic, Consistency Model Etc.

References

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