PROTECTION OF CROPS FROM ANIMALS USING INTELLIGENT SURVEILLANCE SYSTEM

Abstract

Traditional methods of detecting animals in paddy fields and farms include the use of human eyes to witness animal movements. It is not possible for human beings to monitor animal movements continuously throughout the day. So there is a need for specialized detection of animals particularly which enter the paddy fields and farm land of human beings. The methods used for the recognition of the animals include segmentation and object detection process. In the segmentation process frame differencing is used which is followed by thresholding. In the process of frame differencing two consecutive frames are subtracted which will leave only the moving objects. The process of segmentation is followed by object detection. There is a state of art overview to go through the work done by people in this field. After studying several object detection methods, finally the scale invariant Fourier transform method is selected owing to several advantages as compared to its counterparts.