ANIMAL FOOTPRINTS IDENTIFICATION
ANIMAL FOOTPRINTS IDENTIFICATION USING IMAGE PROCESSING
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Wild animals can be difficult to detect because of their instinctive behaviour to avoid humans. Many people have learned to read wildlife tracks with remarkable skill for hunting purposes. The art of tracking also allows wildlife biologists to identify habitats in which animals live and to conduct population surveys. Animal tracks can be found in a variety of places. For example, the track may not show all the toes. A track in the mud may look different from one in dust or snow, even if the same individual animal made them. In addition, a track in snow is different after the warm sun has enlar...
Wild animals can be difficult to detect because of their instinctive behaviour to avoid humans. Many people have learned to read wildlife tracks with remarkable skill for hunting purposes. The art of tracking also allows wildlife biologists to identify habitats in which animals live and to conduct population surveys. Animal tracks can be found in a variety of places. For example, the track may not show all the toes. A track in the mud may look different from one in dust or snow, even if the same individual animal made them. In addition, a track in snow is different after the warm sun has enlarged and distorted it. Recognition of animals via images of their footprints is implemented using image processing. We have implemented this in MATLAB R2014b.GSM is used to transmit the voice and data to know about the movement of an animal.We use Digital Image Processing for feature extraction. It is the use of computer algorithms to perform image processing on digital images. It has more merits than analog image processing. Image processing is one of the greatest emerging technology in current scenario.
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