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Video Object Extraction Based on a Comparative Study of Efficient Edge Detection Techniques

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Journal from gdlhub / 2017-08-14 11:52:32
Oleh : Kavitha Ganesan, Shanmugam Jalla, IAJIT
Dibuat : 2012-06-23, dengan 1 file

Keyword : Segmentation, video object extraction, change detection, model matching.
Subjek : Video Object Extraction Based on a Comparative Study of Efficient Edge Detection Techniques
Url : http://www.ccis2k.org/iajit/PDF/vol.6,no.2/1VOEBCSEEDT107.pdf
Sumber pengambilan dokumen : Internet

Segmentation of objects serves as a key of image analysis and pattern recognition. The main focus of the paper is


related to the development of efficient algorithms for automatic segmentation of objects in image sequences. Fast, automatic


and robust segmentation are necessary in many aspects of multimedia applications due to its capability that it can


automatically detect objects appearance and in addition it can be used for object tracking system. The extraction of


semantically meaningful video object for tracking and surveillance application can be obtained in the process of implementing


the proposed algorithms. Further in this paper a comparative study between video object extraction based on change detection


and model matching techniques is given. Experimental results prove the effectiveness of the proposed algorithms.

Deskripsi Alternatif :

Segmentation of objects serves as a key of image analysis and pattern recognition. The main focus of the paper is


related to the development of efficient algorithms for automatic segmentation of objects in image sequences. Fast, automatic


and robust segmentation are necessary in many aspects of multimedia applications due to its capability that it can


automatically detect objects appearance and in addition it can be used for object tracking system. The extraction of


semantically meaningful video object for tracking and surveillance application can be obtained in the process of implementing


the proposed algorithms. Further in this paper a comparative study between video object extraction based on change detection


and model matching techniques is given. Experimental results prove the effectiveness of the proposed algorithms.

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