| Autor: |
Sidram, M. H., Bhajantri, Nagappa U. |
| Předmět: |
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| Zdroj: |
International Journal of Image & Graphics; Oct2015, Vol. 15 Issue 4, p-1, 23p |
| Abstrakt: |
The process explicitly dedicated to estimate the path of the object as it moves along the region of scene in the image plane is the principle of tracking. In other words, it is a strategy to detect and track moving object through a sequence of frames. In this work, optical flow based on Horn-Schunk with Barren, Fleet and Beuchemin (BFB) kernel has been employed to estimate the motion vectors. The peripheries of moving objects are extracted for different shape signatures such as boundary, edge, area, curvature and centroid distance functions. Fourier descriptors (FD) of particular shape signature for each of the candidate templates and model template are computed. Similarity between the model template and candidate templates is confirmed by corresponding minimum Minkowski distance (MD). Subsequently, best match candidate template will be updated by model template in view of tracking process. However, centroid distance function has remarked some potentials and hence it has further motivated to mine it to throw in the proposed novel criteria such as the geometric mean of segmented centroid (GMSC) distance function to track the object. The proposed method of GMSC distance function has shown significant change in the tracking outcome. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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