Camera trapping is a relatively new addition to the wildlife survey repertoire in Australia. Its
rapid adoption has been unparalleled in ecological science, but objective evaluation of …

Simple Summary Camera traps, also known as “game cameras” or “trail cameras”, have
increasingly been used in wildlife research over the last 20 years. Although early units were …

Deep learning (DL) algorithms are the state of the art in automated classification of wildlife
camera trap images. The challenge is that the ecologist cannot know in advance how many …

The availability of affordable 'recreational'camera traps has dramatically increased over the
last decade. We present survey results which show that many conservation practitioners use …

Camera trapping is widely used in ecological studies. It is often considered nonintrusive
simply because animals are not captured or handled. However, the emission of light and …

This work presented a literature review on animal species and individual identification tools,
as well as animal monitoring capabilities. We gathered the literature to cover different …

Deep neural networks have advanced the field of detection and classification and allowed
for effective identification of signals in challenging data sets. Numerous time-critical …

Camera traps are increasingly used to monitor wildlife populations and management
activities. Failing to detect target occurrence and/or behaviour inhibits the robustness of …

Vandalism and theft of camera traps is common, imposing financial and data losses on
wildlife professionals. Like many 'victims', our response to a spate of thefts was to attempt to …

Identification of pollen vectors is a fundamental objective of pollination biology. The foraging
and social behavior of these pollinators has profound effects on plant mating, making …