Drone vs. Bird Detection: Deep Learning Algorithms and Results from a Grand Challenge.

Adopting effective techniques to automatically detect and identify small drones is a very compelling need for a number of different stakeholders in both the public and private sectors. This work presents three different original approaches that competed in a grand challenge on the "Drone vs. Bird" detection problem. The goal is to detect one or more drones appearing at some time point in video sequences where birds and other distractor objects may be also present, together with motion in background or foreground. Algorithms should raise an alarm and provide a position estimate only when a drone is present, while not issuing alarms on birds, nor being confused by the rest of the scene. In particular, three original approaches based on different deep learning strategies are proposed and compared on a real-world dataset provided by a consortium of universities and research centers, under the 2020 edition of the Drone vs. Bird Detection Challenge. Results show that there is a range in difficulty among different test sequences, depending on the size and the shape visibility of the drone in the sequence, while sequences recorded by a moving camera and very distant drones are the most challenging ones. The performance comparison reveals that the different approaches perform somewhat complementary, in terms of correct detection rate, false alarm rate, and average precision.

The shared mitochondrial genome of Rupicapra pyrenaica ornata and Rupicapra rupicapra cartusiana: old remains of a common past.

Mitochondrial DNA (mtDNA) has largely been used for species delimitation. However, mtDNA introgression across species boundaries can lead to inconsistent phylogenies. Partial sequences of the mitochondrial genome in the chamois, genus Rupicapra, show the presence of three well differentiated clades, West (mtW), Central (mtC) and East (mtE), each with a geographically restricted distribution. The complete mtDNAs of the clades mtW and mtE (main representatives of the two currently considered species R. pyrenaica and R. rupicapra respectively) have been reported. In the present study, we sequenced the clade mtC present in populations from both species inhabiting the central area of Europe: the Apennines (R. pyrenaica ornata) and the Chartreuse Mountains (R. rupicapra cartusiana). The phylogenetic comparison with the genomes of Caprini highlights the ancient presence of chamois in Europe relative to the fossil record, and the old age of the chamois clade mtC that was split from the clade mtW in the early Pleistocene. The separation of R. pyrenaica ornata and R. rupicapra cartusiana female lineages was recent, dating of the late Pleistocene. Our data represent an example of mtDNA introgression of resident females of Chartreuse Mountains into immigrant males of R. rupicapra due to male-biased migration and female phylopatry.