Zobrazeno 1 - 10
of 98
pro vyhledávání: '"Arne Schumann"'
Autor:
Angelo Coluccia, Alessio Fascista, Lars Sommer, Arne Schumann, Anastasios Dimou, Dimitrios Zarpalas
Publikováno v:
IEEE Open Journal of Signal Processing, Vol 5, Pp 766-779 (2024)
This paper presents the 6th edition of the “Drone-vs-Bird” detection challenge, jointly organized with the WOSDETC workshop within the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2023. The main objective of t
Externí odkaz:
https://doaj.org/article/c668ba4d64d54715b62e639cdee0b95c
Publikováno v:
Remote Sensing, Vol 13, Iss 16, p 3088 (2021)
Automated detection of objects in aerial imagery is the basis for many applications, such as search and rescue operations, activity monitoring or mapping. However, in many cases it is beneficial to employ a detector on-board of the aerial platform in
Externí odkaz:
https://doaj.org/article/c0c8b7f1396648629e2569e29f75c89f
Autor:
Angelo Coluccia, Alessio Fascista, Arne Schumann, Lars Sommer, Anastasios Dimou, Dimitrios Zarpalas, Miguel Méndez, David de la Iglesia, Iago González, Jean-Philippe Mercier, Guillaume Gagné, Arka Mitra, Shobha Rajashekar
Publikováno v:
Sensors, Vol 21, Iss 8, p 2824 (2021)
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 compe
Externí odkaz:
https://doaj.org/article/27b715dfb9bf4c09bbf4dc1e37f09ef4
Publikováno v:
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
Autor:
Angelo Coluccia, Alessio Fascista, Arne Schumann, Lars Sommer, Anastasios Dimou, Dimitrios Zarpalas, Fatih Cagatay Akyon, Ogulcan Eryuksel, Kamil Anil Ozfuttu, Sinan Onur Altinuc, Fardad Dadboud, Vaibhav Patel, Varun Mehta, Miodrag Bolic, Iraj Mantegh
This paper presents the 4-th edition of the “drone-vs-bird” detection challenge, launched in conjunction with the the 17-th IEEE International Conference on Advanced Video and Signal-based Surveillance (AVSS). The objective of the challenge is to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c99af3d2a0f7dfcadd1006ec60b2a826
https://nrc-publications.canada.ca/eng/view/object/?id=18afd3dc-eb8c-4a9b-80a7-ef26982158ae
https://nrc-publications.canada.ca/eng/view/object/?id=18afd3dc-eb8c-4a9b-80a7-ef26982158ae
Autor:
Lars Sommer, Arne Schumann
Publikováno v:
Artificial Intelligence and Machine Learning in Defense Applications III.
The increased availability of unmanned aerial vehicles offers potential for numerous fields of application, but also can pose security and public safety threats. Thus, the demand for automated UAV detection systems to generate early warnings of possi
Publikováno v:
MIPR
Recognition of person attributes in surveillance camera imagery is often used as an auxiliary cue in person re-identification approaches. Additionally, increasingly more attention is being payed to the cross modal task of person re-identification bas
Publikováno v:
IEEE EUROCON 2021 - 19th International Conference on Smart Technologies.
The behavior of individuals in crowds in public places has gained enormously in importance last year, for example through distancing requirements. However, automatically detecting pedestrians in real-world uncooperative scenarios remains a very chall
Publikováno v:
Pattern Recognition and Tracking XXXII.
As the technological advances of the last decade have led to increased performance and availability of video cameras, along with the rise of deep learning-based image recognition, the task of person re-identification has almost exclusively been studi
Publikováno v:
Automatic Target Recognition XXXI.
The increasing availability of drones and their flexible employment for surveillance tasks will lead to large amounts of aerial video data in the near future. Similar to camera network data, such large data volumes will pose a challenge when fast ana