Animal Recognition From Natural Scene Images

With the development of imaging technology, camera trapping becomes one of the best ways to record the presence and activities of large mammals in a given area. The approach to monitoring the animals can assist people in the community with decision making about preserving biodiversity. In the past, experts analyzed such images manually, which required domain knowledge and took significant time. In this project, we aim to develop an animal recognition system that can help analyze natural scene images which record the presence of large mammals, such as elk, deer, bear, etc., and automatically categorize those animals. Such a system can help experts save significant time and better understand natural scene images and the activities of animals around the certain area and in a reasonable time. This work will support ecologists to make a better decision on protecting and preserving the biodiversity in the province Alberta.

Faculty Supervisor:

Dr. Osmar R. Zaiane

Student:

Baoliang Wang

Partner:

Alberta Innovates Technology Futures

Discipline:

Computer science

Sector:

Fisheries and wildlife

University:

University of Alberta