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Wildlife Monitoring using Image Processing


Author(s):

Prof. Shashi Rekha G , Sapthagiri College of Engineering; Manjunath S, Sapthagiri College of Engineering; Harish Babu A, Sapthagiri College of Engineering; Kautilya K Bhat, Sapthagiri College of Engineering; Keshav Prasad C, Sapthagiri College of Engineering

Keywords:

Machine Learning, Animals, image-processing

Abstract:

It proposes 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, and behavioral study of animals and so on. The detection algorithm is based on a human face detection method, utilizing Haar-like features and AdaBoost classifiers or CNN. The detection of particular animal species, the information generated by the tracker can be used to boost the priors in the probabilistic semantic classification of wildlife videos. Animals entering the agricultural areas placed near the forest destroy crops or even attack on people therefore there is a need of system which detects the animal presence and gives warning about that in the view of security purpose.


Other Details:

Manuscript Id :IJSTEV7I1007
Published in :Volume : 7, Issue : 1
Publication Date: 01/08/2020
Page(s): 18-22
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