DEVELOPMENT OF ANIMAL TRACKING SYSTEM USINGCOMPUTER VISION

Abstract

The behavior of animals in the wild is studied animal migration tracking in wildlife biology, conservation biology, and ecology and wildlife management. Animal banding, which involved attaching passive ID tags to animal’s legs to identify it in a sub sequent catch and release operation, was one of the earliest techniques used. A tiny radio transmitter is fastened to the animals during radio tracking, and a receiver tracks the signal.In genius temporary methods use GP tags that retain are cord of the animal’s where abuts as well as satellites to follow tagged animals. Devices tailored to the species or item being monitored by the you look only once algorithm may now be developed thanks to the development of new technology. One of the numerous goals of animal migration research has been to determine the creature’s final locations. The goal of object detection, a field of computer science related to computer vision and image processing, is to find instances of semantic objects belonging to a specific class in digital pictures and videos. Two well researched object detection fields are face and pedestrian detection. Object detection is used in several computer vision domains, including video surveillance and OPEN CV library.