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Abstract
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Article Information:
Human and Animal Detection Systems-[Hads] for Unauthorized Zone
R. Rakesh, R.D. Sathya and V. Vaithiyanathn
Corresponding Author: R. Rakesh
Submitted: March 18, 2012
Accepted: April 14, 2012
Published: December 15, 2012 |
Abstract:
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The animal detection becoming important issue because of the accidents occurring in the prohibited
areas. For preventing this issue, the HADS system is proposed. The system consists of two phases; the first
phase is human detection using HOG-[Histogram of Oriented Gradients] features with adaboost framework on
the sliding window. The second phase is animal detection using HOOG-[Haar of Oriented Gradients]. The
HOOG is used for extracting the shape and texture features separately and combined those features using joint
Learning approach for animal detection. After combining the shape and texture feature, two detection
algorithms have been used for identifying the animals.
Key words: Classifiers, features, gradients, HOG, HOOG, ,
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Abstract
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Cite this Reference:
R. Rakesh, R.D. Sathya and V. Vaithiyanathn, . Human and Animal Detection Systems-[Hads] for Unauthorized Zone. Research Journal of Applied Sciences, Engineering and Technology, (24): 5344-5349.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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