An approach for the development of animal tracking system

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

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