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 ...
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 ...
in the case of a bird, whereas there is no change as in drones. In DroneSilient we use a modified bloom-like filter, wherein a subsequent change in the wings’ position will be given as one class of hash function, and all others that denote drone will be given as another class of h...
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 ...
The 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 robust and efficient drone detection systems has become paramount. Traditional ...
Code to render sample annotated image from the original dataset: preview-weiser-waterfowl.py Code to render sample annotated image from the LILA dataset: preview-weiser-waterfowl-lila.py Data from: Drones and deep learning produce accurate and efficient monitoring of large-scale seabird colonies 44966...
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...
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 ...
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 ...
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 Video & Signal Based Surveillance 被引量: 3发表: 2017...