Video Segmentation using FCM Algorithm

Video Segmentation using FCM Algorithm

  IJETT-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
  
© 2016 by IJETT Journal
Volume-36 Number-2
Year of Publication : 2016
Authors : Priyanka Dhiman, Mamta Dhanda
DOI :  10.14445/22315381/IJETT-V36P220

Citation 

Priyanka Dhiman, Mamta Dhanda"Video Segmentation using FCM Algorithm", International Journal of Engineering Trends and Technology (IJETT), V36(2),106-110 June 2016. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group

Abstract
Now days, video information plays a crucial role. Storage of video data has become significant for wide variety of applications such as in Forensic, Medical, Navy and Military, Multimedia applications. The miracle happens when there is a appropriate indexing method for the stored video content and proper retrieval method for accessing the stored information from the databases. Video Segmentation is the major issue involved in retrieving and storing the video data. In this paper we use SLIC and FCM algorithm for video segmentation. First of all SLIC algorithm is used for tracking of an object from the video. Tracking is usually performed in the context of higher-level applications that need the location and/or shape of the object in each frame. Then FCM algorithm is used for the segmentation. The advantage of FCM technique is that it yield regions which are more homogeneous also it reduces spurious blobs. Further it was less sensitive to noise. In this paper both algorithms are used. The result shows that the proposed method used for segmentation enhances the image quality.

 References

[1] Shaoping Xu, Lingyan Hu, Xiaohui Yang and Xiaoping Liu, “A Cluster Number Adaptive Fuzzy c-means Algorithm for Image Segmentation” , International Journal of Signal Processing, Image Processing and Pattern Recognition Vol.6, No.5 (2013), pp.191- 204.
[2] Sudhanshu Sinha, Manohar Mareboyana, “Video Segmentation into Background and Foreground Using Simplified Mean Shift Filter and K-Means Clustering”, Bowie State University, Bowie, MD 20715, April 3-5, 2014.
[3] Meenakshi M. Devikar and Mahesh Kumar Jha, “ Segmentation of images using histogram based FCM clustering algorithm and spatial probability”, Department of Telecommunication Engineering, CMRIT, Bangalore, India, International Journal of Advances in Engineering & Technology, Mar. 2013.
[4] RAJASEKHAR NALABOLU, D. V. S. NAGENDRA KUMAR, “Object Identification in Digital Videos using Color Histogram Bins and Fuzzy C-Means Clustering Techniques” , Mahathma Gandhi Institute of Technology, Hyderabad, India, ISSN 2319-8885 Vol.03,Issue.46 December-2014.
[5] Jiamin Ning, Yang Yang, and Fei Zhu, “ Background Modeling and Fuzzy Clustering for Motion Detection from Video” , School of Computer Science and Technology, Soochow University, Suzhou, Jiangsu, China, 215006, JOURNAL OF MULTIMEDIA, VOL. 8, NO. 5, OCTOBER 2013.
[6] A Pugazhenthi, G.Sreenivasulu, A Indhirani, “Background Removal by Modified Fuzzy C-Means Clustering Algorithm”, 2015 IEEE International Conference on Engineering and Technology (ICETECH’15), 20th March 2015, Coimbatore, TN, India, 978-1-4799-1854 6/15/$31.00 ©2015 IEEE.
[7] Deepak Kumar Panda, Sukadev Meher, “Detection of Moving Objects Using Fuzzy Color Difference Histogram Based Background Subtraction”, IEEE SIGNAL PROCESSING LETTERS, VOL. 23, NO. 1, JANUARY 2016.
[8] S. Padmakala and Dr. G.S. AnandhaMala, “A Novel Video Object Segmentation Approach for Noisy Video Sequences towards Effective Video Retrieval”, International Journal of Computer Theory and Engineering, Vol.2, No.6, December, 2010.
[9] Mada Amarnadh, S. Asif Hussain, M. Janardhana Raju, “A Review of Video Segmentation Techniques” , Global Journal of Advanced Engineering Technologies, Special Issue (CTCNSF- 2014).
[10] Radhakrishna Achanta, Appu Shaji, Kevin Smith,” SLIC Superpixels”, EPFL Technical Report 149300, June 2010.
[11] V. M. Vijay Kannan, “High Accuracy Detection and Tracking of Objects” , IOSR Journal of Computer Engineering (IOSRJCE) ,ISSN: 2278-0661, ISBN: 2278-8727Volume 8, Issue 4 (Jan. - Feb. 2013)
[12] M. Arfan Jaffar, Bilal Ahmed, Nawazish, Naveed, Ayyaz Hussain, Anwar M. Mirza , “Color Video Segmentation using Fuzzy C-Mean Clustering with spatial Information” , Department of Computer Science , National University of Computer and Emerging Sciences, A.K. Brohi Road H-11/4, Islamabad, PAKISTAN , ISSN: 1790-5052, Issue 5, Volume 5, May 2009.

Keywords
Clustering, Motion Detection, Object tracking, SLIC, Video Segmentation.