| Paper Details: | Downloads: 558 |
| Serial Number: | P1151031180
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| Title: | Tracking Moving Objects Using Bandpass Filter Enhanced Localisation and Automated Initialisation of Active Contour Snakes
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| Authors: | Nagachetan Bangalore and Rupert Young and Philip Birch and Chris Chatwin
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| Abstract: | This paper describes a robust and accurate method of Active Contours, also known as Snakes. Active Contours (AC) are a completely different approach to feature extraction. The feature being extracted is the contour of an object in an image or a video frame. Various parameters of the object namely: area; height; centroid; shape; motion and orientation, can be deduced using the contour feature of the AC technique. AC can also be used to allow tracking of any object in a video sequence using the knowledge of the contour of the object being tracked. In this paper a new method of minimization of boundary co-ordinates of the object is used for the Snake initialization. The boundary co-ordinates of the object under study are extracted using threshold, filtering and morphological operations. A fine tuned Difference of Gaussian (DoG) filter is used to extract the edge image of the object in a scene. The DoG filtered image is also used to add a new energy functional term in the AC Snake energy equation. A method of adding and removing snake points based on the distance between the points is introduced. Thus, in this paper, a modified energy functional for energy minimization and a new method of AC Snake initialization is proposed. In order to show the performance of the proposed snake model several experimental results are presented for frame data from video sequences.
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| Keywords: | Active contours, Snake initialization, Snake algorithms, tracking, image segmentation, Edge based active contours
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| Journal/Conference: | International Journal of Graphics, Vision and Image Processing
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| Volume: | 10
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| Issue: | 4
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| Submission Date: | 7/30/2010 12:00:00 AM
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| Review Date: | 8/18/2010 12:00:00 AM
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| Publishing Date: | 8/22/2010 12:00:00 AM
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| Article Downloads: | 558
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