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Design of Enhanced Method for Detection and Removal a Shadow from Video Frames

M.S. Kalas1 , B.D. Sonawane2

Section:Research Paper, Product Type: Journal Paper
Volume-8 , Issue-3 , Page no. 28-32, Mar-2020

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v8i3.2832

Online published on Mar 30, 2020

Copyright © M.S. Kalas, B.D. Sonawane . 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: M.S. Kalas, B.D. Sonawane, “Design of Enhanced Method for Detection and Removal a Shadow from Video Frames,” International Journal of Computer Sciences and Engineering, Vol.8, Issue.3, pp.28-32, 2020.

MLA Style Citation: M.S. Kalas, B.D. Sonawane "Design of Enhanced Method for Detection and Removal a Shadow from Video Frames." International Journal of Computer Sciences and Engineering 8.3 (2020): 28-32.

APA Style Citation: M.S. Kalas, B.D. Sonawane, (2020). Design of Enhanced Method for Detection and Removal a Shadow from Video Frames. International Journal of Computer Sciences and Engineering, 8(3), 28-32.

BibTex Style Citation:
@article{Kalas_2020,
author = {M.S. Kalas, B.D. Sonawane},
title = {Design of Enhanced Method for Detection and Removal a Shadow from Video Frames},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {3 2020},
volume = {8},
Issue = {3},
month = {3},
year = {2020},
issn = {2347-2693},
pages = {28-32},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=5046},
doi = {https://doi.org/10.26438/ijcse/v8i3.2832}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v8i3.2832}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=5046
TI - Design of Enhanced Method for Detection and Removal a Shadow from Video Frames
T2 - International Journal of Computer Sciences and Engineering
AU - M.S. Kalas, B.D. Sonawane
PY - 2020
DA - 2020/03/30
PB - IJCSE, Indore, INDIA
SP - 28-32
IS - 3
VL - 8
SN - 2347-2693
ER -

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Abstract

It is very difficult to remove the shadow from video frames or an image, so we need to find the solution for this. Here we did survey for the required information. Due to the excessive-order textural material within the video frame directly removed the intensity area of the shadow frame is difficult. There are various filters for image segmentation, here we used a mean-shift filter to remove a noise and smoothening of video frame. A region growing algorithm is used for the shadow detection through the user. Using 3D modelling and inpainting, an intensity surface of illumination in the shadow region can be received primarily based on that similar to the equal texture inside the non-shadow one. In comparison to the alternative strategies, this is a user-assisted method that solves a shadow detection problem and applies to the shadow, consisting of various types of textures. In future, when we apply this system for video, this process is well suitable for the less duration video because, for each frame the user gives some important information to the system

Key-Words / Index Term

Mean-shift filter, Region Growing algorithm , Image inpainting, Shadow removal

References

[1]   H. Jiang and M. Drew, “Tracking objects with
shadows.” In Proc. Electron. Imaging Conf. 
Int.  Soc.  Optics 
Photonics, pp. 512-521, May. 
2003.



[2]   S. H. Khan, M. Bennamoun, F. Sohel, and R.
Togneri, "Automatic feature learning for robust shadow detection." In
Proc. IEEE Conf. Comput. Vis. Pattern Recognit. (CVPR), pp. 1936-1946,  Jun. 2014.



[3]   E. Arbel and H. Hel-Or, “Shadow removal using
intensity surfaces and texture anchor points,” IEEE Trans. Pattern Anal. Mach.
Intell. , vol. 33, no. 6, pp. 1202–1216, Jun. 2011.



[4]   A. Mohan, J. Tumblin, and P. Choudhury,
“Editing soft shadows in a digital photograph,” IEEE Comput. Graph., Appl.,
vol. 27, no. 2, pp. 23–31, Mar./Apr. 2007



[5]   E. Arbel and H. Hel-Or, “Shadow removal using
intensity surfaces and texture anchor points,” IEEE Trans. Pattern Anal. Mach.
Intell. , vol. 33, no. 6, pp. 1202–1216, Jun. 2011.



[6]   Z. Chen, Y. Zhao, X. Huang, X. H. Liang, Y.
L. Yuan, and X. F. Hu, “An improved shadow removal algorithm based on gradient
amendment,” in Proc. 12th IEEE Int. Conf. 
Signal Process. (ICSP), Oct. 2014, pp. 1190-1194.



[7]   A. J. Joshi and N. P. Papanikolopoulos,
“Learning to detect moving shadows in dynamic environments,” IEEE Trans.
Pattern Anal. Mach. Intell., vol. 30, no. 11, pp. 2055–2063, Nov. 2008.



[8]   I. Huerta, M. Holte, T. Moeslund, and J.
Gonzales, “Detection and removal of chromatic moving shadows in surveillance
scenarios,” in Proc. 12th IEEE Int. Conf. 
Comput. Vis.(ICCV), Oct. 2009, pp. 1499–1506.



[9]   V. J. D. Tsai, “A comparative study on shadow
compensation of color aerial images in invariant color models,” IEEE Trans.
Geosci. Remote Sens., vol. 44, no. 6, pp. 1661–1671, Jun. 2006.



[10] A. Makarau, R. Richter, R. Muller, and P.
Reinartz, “Adaptive shadow detection using a blackbody radiator model,” IEEE
Trans. Geosci. Remote Sens., vol. 49, no. 6, pp. 2049–2059, Jun. 2011.



[11] A. Mohan, J. Tumblin, and P. Choudhury,
“Editing soft shadows in a digital photograph,” IEEE Comput. Graph. Appl., vol.
27, no. 2, pp. 23–31, Mar. /Apr. 2007.



[12] Kai He, Rui Zhen, Jiaxing Yan, and Yunfeng Ge,”
Single-Image Shadow Removal Using 3D Intensity Surface Modeling” IEEE
Transactions On Image Processing, Vol. 26, No. 12, December 2017.



[13] Huifang Li,Liangpei Zhang,“An Adaptive Nonlocal
Regularized Shadow Removal Method for Aerial Remote Sensing Images” IEEE Trans.
Geosci. Remote Sensing, Vol. 52, No. 1, January 2014



[14] R.K. Sasi, V.K. Govindan, Fuzzy split and merge
for shadow detection, published in Egyptian Informatics Journal, Vol. 16,
pp.29-35, 2015.



[15] Roshani L Jain, Lubdha M Bendale and Gaytri D.
Patil, “Image Enhancement using different Techniques”IJSRCSE Vol.06, Special
Issue.01 , pp.73-76, Jan. 2018



[16] Palak kumar, Vineet Saini  “An Efficient Image Sharpening Filter for
Enhancing Edge Detection Techniques for 2D, High Definition and Linearly
Blurred Images”vol.2,Issue.1,Feb.2014.