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    Abstract
2012 (Vol. 4, Issue: 24)
Article Information:

Human and Animal Detection Systems-[Hads] for Unauthorized Zone

R. Rakesh, R.D. Sathya and V. Vaithiyanathn
Corresponding Author:  R. Rakesh 

Key words:  Classifiers, features, gradients, HOG, HOOG, ,
Vol. 4 , (24): 5344-5349
Submitted Accepted Published
March 18, 2012 April 14, 2012 December 15, 2012
Abstract:

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.
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  Cite this Reference:
R. Rakesh, R.D. Sathya and V. Vaithiyanathn, 2012. Human and Animal Detection Systems-[Hads] for Unauthorized Zone.  Research Journal of Applied Sciences, Engineering and Technology, 4(24): 5344-5349.
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ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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