Wildlife camera traps and crowd-sourced image material provide novel possibilities to
monitor endangered animal species. The massive data volumes call for automatic methods …

In this paper we propose a method to match pelage patterns of the Saimaa ringed seals
enabling the re-identification of individuals. First, the pelage pattern is extracted from the …

Pinniped species undergo uniquely amphibious life histories that make them valuable
subjects for many domains of research. Pinniped research has often progressed hand‐in …

We propose a method for Saimaa ringed seal re-identification. Access to large image
volumes through camera trapping and crowdsourcing provides novel possibilities for animal …

Visual re-identification of individual animals that bear unique natural body markings is an
essential task in wildlife conservation. The photo databases of animal markings grow with …

Access to large image volumes through camera traps and crowdsourcing provides novel
possibilities for animal monitoring and conservation. It calls for automatic methods for …

The ability for researchers to re-identify animal individuals upon re-encounter is fundamental
for the study of population dynamics, community, and behavioural ecology. Animal re …

Automated wildlife reidentification has attracted increasing attention in recent years as it
provides a non-invasive tool to identify and to track individual wild animals over time. In this …

Automatic game cameras are commonly used for monitoring wildlife as they allow to
document of the activity of animals in a non-invasive manner. By utilizing a large number of …

The manual processing and analysis of videos from camera traps is time-consuming and
includes several steps, ranging from the filtering of falsely triggered footage to identifying …