IEEE Style Citation: Asadullah Shaikh, Sumeet Bhanage, Shalvi Sawant, Vishal Gawde, “Detection and Recognition of Weapons using Image Processing Fundamentals,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.3, pp.854-858, 2019.
MLA Style Citation: Asadullah Shaikh, Sumeet Bhanage, Shalvi Sawant, Vishal Gawde "Detection and Recognition of Weapons using Image Processing Fundamentals." International Journal of Computer Sciences and Engineering 7.3 (2019): 854-858.
APA Style Citation: Asadullah Shaikh, Sumeet Bhanage, Shalvi Sawant, Vishal Gawde, (2019). Detection and Recognition of Weapons using Image Processing Fundamentals. International Journal of Computer Sciences and Engineering, 7(3), 854-858.
BibTex Style Citation:
@article{Shaikh_2019,
author = { Asadullah Shaikh, Sumeet Bhanage, Shalvi Sawant, Vishal Gawde},
title = {Detection and Recognition of Weapons using Image Processing Fundamentals},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {3 2019},
volume = {7},
Issue = {3},
month = {3},
year = {2019},
issn = {2347-2693},
pages = {854-858},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=3927},
doi = {https://doi.org/10.26438/ijcse/v7i3.854858}
publisher = {IJCSE, Indore, INDIA},
}
RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i3.854858}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=3927
TI - Detection and Recognition of Weapons using Image Processing Fundamentals
T2 - International Journal of Computer Sciences and Engineering
AU - Asadullah Shaikh, Sumeet Bhanage, Shalvi Sawant, Vishal Gawde
PY - 2019
DA - 2019/03/31
PB - IJCSE, Indore, INDIA
SP - 854-858
IS - 3
VL - 7
SN - 2347-2693
ER -
VIEWS
PDF
XML
290
181 downloads
129 downloads
Abstract
In present days, weapon detection is an important obstacle for the advancement of the security of people as well as the safety of public assets like airports and buildings. They should be taken into consideration and detection of weapons through videos and images should be made possible. Manually screening of the weapons is common in public places like airports, entrances to sensitive buildings, and public events. It is desirable sometimes to be able to detect weapons from a stand-off distance, especially when it is impossible to arrange the flow of people through a controlled procedure. The goal is to develop an automatic detection and recognition of weapons using sensor technologies and image processing. The focus of this paper is to develop an algorithm using images and a corresponding shapes and structures for weapon detection by the help of image processing.
Key-Words / Index Term
Image processing, Weapon recognition, Weapon detection, Color image
References
[1] Image Editing- wikipedia.org/wiki/Image editing
[2] A Beginners guide to Object Detection- www.datacamp.com/community/tutorials/object-detection-guide
[3] Concealed Weapon Detection Using Image Processing 1Bingi Yogi Gopinath, 2Vasa Suresh Krishna, 3G. Srilatha. Dept. of E.C.E, Sir C.R.R College of Engineering, Eluru, AP, India
[4] Xin Jia, Image Recognition Method Based on Deep Learning, in: Control and Decision Conference (CCDC), 2017.
[5] Conference (Ccdc), 2017.
[6] Convolution Neural Network for Automatic Facial Expression Recognition by Xiaoguang Chen, Xuan Yang, Maosen Wang, Jiancheng Zou Proceedings of the
2017 IEEE International Conference on Applied System Innovation IEEE-ICASI 2017 Meen, Prior & Lam (Eds).
[7] Introduction to MPEG-7: Multimedia content description interface.
[8] Sentiment Analysis algorithm and applications: A survey Walaa Medhat, Ahmed Hassan, Hoda Korashy
[9] Objectrecognition.pdf-https://www.scribd.com/document/369120766/ObjectRecognition-pdf
[10] Object recognition: A shape based approach using Artificial Neural Networks Jelmer Philip de Vries.
[11] Image Recognition and Object Detection: Part 1 Learn OpenCV
[12] Object detection-Wikipedia https://en.wikipedia.org/wiki/Object_detection
[13] Image Segmentation using Susan Edge Detector Devidas D. Dighe, J.J.Chopade and N.L.Bhale.
VIEWS
PDF 
XML 
