Friday 26th of April 2024
 

A New Hybrid Video Segmentation Algorithm using Fuzzy C Means Clustering


K. Mahesh and K. Kuppusamy

This paper is concerned with the development of video segmentation technique for segmenting both the static and dynamic objects in the video sequence. The effective extraction of objects from the frame is an important process of video segmentation. The proposed technique uses the fuzzy C means approach for object extraction. The proposed approach uses the joint use of frame difference algorithm with the background subtraction method as well as consecutive frame difference for segmentation of static and dynamic objects. The prior research used the FKM based object extraction method whereas the proposed approach uses the improved FCM based object extraction method. The proposed technique is evaluated by varying video sequences and the efficiency is analyzed by calculating the statistical measures and kappa coefficient.

Keywords: Video segmentation, Discrete cosine transform, Fuzzy C Mean Clustering, Fuzzy K Mean clustering , backround subtraction method

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ABOUT THE AUTHORS

K. Mahesh
Mr. K. Mahesh is working as an Associate professor in the Department of Computer Science and Engineering, Alagappa University, Karaikudi, Tamilnadu, India. He has received his M.Phil in Computer Science from Bharathidasan University, Tiruchirapalli, Tamilnadu in the year 2006. He has 21 years of teaching experience at PG level in the field of Computer Science. He has published many papers in international journals and presented his work in national and international conferences. His areas of research interests include Video Segmentation, Video Processing, Clustering techniques, Image processing.

K. Kuppusamy
Prof. Dr K.KUPPUSAMY is working as an Associate Professor in the Department of Computer Science and Engineering, Alagappa University, Karaikukdi, Tamilnadu, India. He has received his Ph.D in Computer Science and Engineering from Alagappa University, Karaikudi, Tamilnadu in the year 2007. He has 22 years of teaching experience at PG level in the field of Computer Science. He has published many papers in International Journals and presented in the National and International conferences. His areas of research interests include Information/Network Security, Algorithms, Neural Networks, Fault Tolerant Computing, Software Engineering, Software Testing and Optimization Techniques.


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