Manohar, N. and Sharath Kumar, Y. H. and Hemantha Kumar, G. (2018) An approach for the development of animal tracking system. International Journal of Computer Vision and Image Processing, 8 (1). pp. 1-17. ISSN 2155-6997
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In this article, the authors propose a system which can identify and track animals. Identification and tracking of animals has got plenty of applications like, avoiding dangerous animal intrusion into residential areas, avoiding animal-vehicle collisions, and behavioral study of animals and so on. Previously, biologists studied videos to detect and identify animals, a time consuming and difficult task. This requires a fully automatic or computer-assisted system to identify and track animals by video. Initially, frames are extracted from the given video. Segmentation is done to the extracted frames using a maximum similarity-based region merging algorithm. Then, the mean shift-based algorithm is used to track the animals. Finally, the animals are classified using Gabor features and a KNN classifier. Experimentation has been conducted on a data set containing more than 150 videos with 15 different classes.
| Item Type: | Article |
|---|---|
| Subjects: | D Physical Science > Computer Science |
| Divisions: | Department of > Computer Science |
| Depositing User: | Manjula P Library Assistant |
| Date Deposited: | 13 Aug 2019 07:50 |
| Last Modified: | 13 Aug 2019 07:50 |
| URI: | http://eprints.uni-mysore.ac.in/id/eprint/6319 |
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