  Identifying individual animals is crucial for many biological investigations.
In response to some of the limitations of current identification methods, new
automated computer vision approaches have emerged with strong performance.
Here, we review current advances of computer vision identification techniques
to provide both computer scientists and biologists with an overview of the
available tools and discuss their applications. We conclude by offering
recommendations for starting an animal identification project, illustrate
current limitations and propose how they might be addressed in the future.
