Animal Detection Using Deep Learning Algorithm

YEAR :2019



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.


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