Video Segmentation using FCM Algorithm
|International Journal of Engineering Trends and Technology (IJETT)||
|© 2016 by IJETT Journal|
|Year of Publication : 2016|
|Authors : Priyanka Dhiman, Mamta Dhanda
|DOI : 10.14445/22315381/IJETT-V36P220|
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
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.
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Clustering, Motion Detection, Object tracking, SLIC, Video Segmentation.