How Footprint Recognition Software Can Revolutionize Zoology

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Conor Myhrvold for MIT Technology Review 2013-08-19 20:18:00 UTC

New software can now ID an animal's gender and age based just on a picture of a footprint.

This is how it works: Key elements uniquely identifying a footprint are marked on an image, as shown above with an Amur tiger print, prior to algorithmic classification.

Studying animal behavior in the wild usually starts with figuring out just where the wild animals are hiding. Field biologists can use a combination of methods for this, such as radio collars, aerial surveys, and camera traps to remotely monitor animal movement. However, to an expert eye, a well-preserved footprint can also reveal a surprising amount about an animal: its species, gender, age, even its individual identity.

The trick is being able to do the identifying accurately and quickly. Over the last decade, WildTrack, an organization founded by zoologist and veterinarian Zoe Jewell and her husband, Sky Alibhai, has been developing image processing software to detect physical footprint characteristics that are hard for an untrained eye to recognize. The organization's software is being used to track a variety of animals in different habitats, including Amur tigers in Russia, tapirs in South America, and polar bears in the Canadian province of Nunavut.

Jewell and Alibhai call their method footprint identification technique, or FIT. Professional trackers photograph footprints (with a ruler for scale) and add GPS coordinates. The footprints are then loaded into software that allows WildTrack to match them to a large number of known footprints from captive animals of the same species. Algorithms compare elements of the photographed footprint against those in a database of animals whose age and gender are known.

Jewell and Alibhai got the idea for WildTrack while working with black rhinos in Zimbabwe in the late 1990s. It has taken years of tweaking and tinkering to develop algorithms that reliably recognize footprints of a given species.

An ongoing challenge will be FIT's reliability (it is currently 90 percent accurate at correctly determining the sex, age, and species). Nonetheless the technique is low cost, relatively easy to use, and noninvasive compared to radio collaring, which requires darting an animal. But FIT doesn't work well with all animals yet, and is still very much in an experimental stage.

"The zebra hoof is a big challenge because it's hard to mark different shapes. On the other hand, a cheetah or lion footprint, where you have four toes and a heel pad, there's lots of complexity there, making it easier to identify individuals," Jewell says.

Image: Jiayin Gu; Jennifer C.

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This article originally published at MIT Technology Review here

Topics: Apps and Software, Dev & Design, research, Science, Tech, visual recognition technology, Work & Play, Zoology

MIT Technology Review is a Mashable publishing partner that identifies emerging technologies and analyzes their impact for technology and business leaders. This article is reprinted with the publisher's permission.