Testing the Efficiency of Background Subtraction Techniques

Authors

  • Maneesh Narayan Student, Department of Computer Science, Krishna Engineering College, Ghaziabad, Uttar Pradesh
  • Mayank Rajput Student, Department of Computer Science, Krishna Engineering College, Ghaziabad, Uttar Pradesh
  • Kaveri Pandey Student, Department of Computer Science, Krishna Engineering College, Ghaziabad, Uttar Pradesh
  • Komal Kaushal Student, Department of Computer Science, Krishna Engineering College, Ghaziabad, Uttar Pradesh

DOI:

https://doi.org/10.37591/ctit.v11i2.861

Keywords:

Background Subtraction method, Object tracking, Static background, Threshold amount

Abstract

In many video surveillance applications, for instance, detection of abandoned/stolen items or parked vehicles, the detection of desk-sure foreground items is an important task. In this work, we recommend the implementation of a green item detection algorithm that may be employed in actual time embedded devices because of its fast processing. The morphological approach is used for similarly processing to remove noise and to maintain the form of transferring object. First video is converted into streams and the applied filter which remove high frequency noise components to obtain smoothened subtraction algorithm with an adaptive threshold that gives detected object is then implemented to a convolution clear out to eliminate the distorted pixels which enhance the quality of an image.

References

Massimo Piccardi “Background subtraction techniques: a review” 2004 IEEE International Conference on Systems, Man and Cybernetics, pp 3099–3104

Lijing Zhang, Yingli Liang “Motion human detection based on background Subtraction” 2010 Second International Workshop on Education Technology and Computer Science, pp 284–287

C. S´anchez-Ferreira, J.Y. Mori, C.H. Llanos “Background Subtraction Algorithm for Moving Object Detection in FPGA” ©2012 IEEE

M.Kalpana Chowdary, S. Suparshya Babu, S.Susrutha Babu, Dr.Habibulla Khan “FPGA Implementation of Moving Object Detection in Frames by Using Background Subtraction Algorithm” International conference on Communication and Signal Processing, April 3-5, 2013, India ©2013 IEEE pp 1032–1036

A novel selective approach for tracking individuals in video sequences Tarik Ljouad LRIT, Reasearch Unit associated to CNRST (URAC 29) Faculty of Science, Agdal Mohammed-V University, Rabat Email: [email protected] Aouatif Amine School of National Applied Science, Ibn Tofail University, Kenitra, Morocco Email: amine [email protected] Mohammed Rziza LRIT, Reasearch Unit associated to CNRST (URAC 29) Faculty of Science, Agdal Mohammed-V University, Rabat Email: [email protected]

Detection Of Moving Object Based On Background Subtraction Mr. Mahesh C. Pawaskar1, Mr. N.S. Narkhede2 and Mr. Saurabh S. Athalye1

Beynon, M. “Detecting abandoned packages in a multicamera video surveillance system”, Proc. of AVSS 2003, pp. 221–228

Comparative evaluation of stationary foreground object detection algorithms based on background subtraction techniques Álvaro Bayona, Juan Carlos SanMiguel, José M. Martínez Video Processing and Understanding Lab Escuela Politécnica Superior, Universidad Autónoma de Madrid, SPAIN J. Clerk Maxwell, A Treatise on Electricity and Magnetism, 3rd ed., vol. 2. Oxford: Clarendon, 1892, pp. 68–73.

C. Wren, A. Azarhayejani, T. Darrell, and A.P. Pentland, “Pfinder: real-time tracking of the human body,” IEEE Trans. on Patfern Anal. and Machine Infell., vol. 19, no. 7, pp. 78g785, 1997.

R. Cucchiara, C. Grana, M. Piccardi, and A. Prati, “Detecting moving objects, ghosts, and shadows in video streams,” ZEEE Tram on Paftem Anal. and Machine Infell,, vol. 25, no. 10, pp. 1337–1442, 2003,

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Published

2021-12-22

Issue

Vol. 11 No. 2 (2021)

Section

Review Articles

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