Biodiversity monitoring is crucial for tracking and counteracting adverse trends in population fluctuations. However, automatic recognition systems are rarely applied so far, and experts evaluate the generated data masses manually. Especially the support of deep learning methods for visual monitoring is not yet established ...

We introduce Carpe Diem, an interactive tool for object detection tasks such as automated wildlife surveillance. It reduces the annotation effort by a utomatically selecting informative images for annotation, facilitates the annotation process by proposing likely objects and labels, and accelerates the integration of new ...

Monitoring the responses of plants to environmental changes is essential for plant biodiversity research. This, however, is currently still being done manually by botanists in the field. This work is very laborious, and the data obtained is, though following a standardized method to estimate plant coverage, usually ...

Due to shrinking habitats, moth populations are declining rapidly. An automated moth population monitoring tool is needed to support conservationists in making informed decisions for counteracting this trend. A non-invasive tool would involve the automatic classification of images of moths, a fine-grained recognition ...

Analyzing camera trap images is a challenging task due to complex scene structures at different locations, heavy occlusions, and varying sizes of animals. One particular problem is the large fraction of images only showing background scenes, which are recorded when a motion detector gets triggered by signals other than ...