This paper presents the second edition of the "drone-vs-bird" detection challenge, launched within the activities of the 16-th IEEE International Conference on Advanced Video and Signal-based Surveillance (AVSS). The challenge's goal is to detect one or more drones appearing at some point in ...
Efficacy of the proposed method is evaluated on Drone-vs-Bird Detection Challenge at IEEE AVSS2021 dataset which is provided by Workshop on Small-Drone Surveillance, Detection and Counteraction Techniques (WOSDETC) supported by the SafeShore Consortium. The proposed method achieved average accuracy ...
This is the paper for the first place winning solution of the Drone vs. Bird Challenge, organized by AVSS 2021. As the usage of drones increases with lowered costs and improved drone technology, drone detection emerges as a vital object detection task. However, detecting distant drones under ...
For Zero False Negatives in drone detection, the main challenge is to distinguish between birds and drones. One important aspect of this distinction is that the subsequent frames will have the wings in different angles, in the case of a bird, whereas there is no change in the case of drones...
Global model of bird detection (2021, code, data, paper) (RetinaNet on ResNet50 in PyTorch) (downloadable directly, but recommended use is via the DeepForest package) Izembek goose detector (2023, code, data) (YOLOv5, detects birds in Izembek Lagoon in Alaska, particularly brant geese, in...
Real-time drone detectionTexture feature extractionPattern recognition techniquesThe increasing prevalence of drones has raised significant concerns regarding their potential for misuse in activities such as smuggling, terrorism, and unauthorized access to restricted airspace. Consequently, the development of ...
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...
To address this issue, the development of a standard dataset that provides images of both drones and birds is essential for training accurate and effective detection models. In this context, we present a dataset consisting of images of drones and birds operating in various environments. This ...
Drone-vs-Bird detection challenge at IEEE AVSS2017 Farhadi et al., "Drone-vs-bird detection challenge at ieee avss2017," in Advanced Video and Signal Based Surveillance (AVSS), 2017 14th IEEE Interna-... A Coluccia,M Ghenescu,T Piatrik,... - IEEE International Conference on Advanced Vide...
The dataset utilized in this research was obtained from a real-world dataset made available by a group of universities and research institutions as part of the 2020 Drone vs. Bird Detection Challenge. We have also tested the performance of the proposed model on an unseen dataset, further ...