CONCEPT STUDY FOR DYNAMIC VISION SENSOR BASED INSECT MONITORING
NIEDERRHEIN UNIVERSITY OF APPLIED SCIENCES
Regina Phole-Frohlich, Tobias Bolten
ABSTRACT
A decline in insect populations has been observed for many years. Therefore, it is necessary to measure the number and species of insects to evaluate the effectiveness of the interventions taken against this decline. We describe a sensor-based approach to realize an insect monitoring system utilizing a Dynamic Vision Sensor (DVS). In this concept study, the processing steps required for this are discussed and suggestions for suitable processing methods are given. On the basis of a small dataset, a clustering and filtering-based labeling approach is proposed, which is a promising option for the preparation of larger DVS insect monitoring datasets. An U-Net based segmentation was tested for the extraction of insect flight trajectories, achieving an F1-score of ≈ 0.91. For the discrimination between different species, the classification of polarity images or simulated grayscale images is favored.
