The work carried out in this WP aims at the development of autonomous UAVs to perform visual surveillance in urban environments, based on soft biometric information. The idea is that – upon a security incident – to receive one query composed of a set of soft biometric traits (e.g., “a blonde girl with 4 years, wearing a red shirt and a blue skirt”), and to scan exhaustively one predefined area, to find targets potentially matching the query.
Team & Collaborators
- Hugo Proença | WP leader
- Aruna Kumar | PostDoc, C4-UBI (06/2019-06/2020)
- Ehsan Yaghoubi | Research fellow, C4-UBI (09/2020-08/2021)
- Yaghoubi E., Borza D., Degardin B., Proença H.. (2021). You look so different! Haven’t I seen you a long time ago?. Image and Vision Computing, 115, 104288.
- Degardin B., Proença H.. (2021). Iterative Weak/Self-Supervised Classification Framework for Abnormal Events Detection. Pattern Recognition Letters, 145, 50.
- Yaghoubi E., Borza D., Kumar S., Proença H.. (2021). Person Re-identification: Implicitly Defining the Receptive Fields of Deep Learning Classification Frameworks. Pattern Recognition Letters, 145,23.
- Yaghoubi E., Kumar S., Proença H.. (2021). SSS-PR: A short survey of surveys in person re-identification. Pattern Recognition Letters, 143, 50.
- Yaghoubi E., Kumar S., Das A., Harish B., Proença H.. (2021). The P-DESTRE: A Fully Annotated Dataset for Pedestrian Detection, Tracking, and Short/Long-Term Re-Identification From Aerial Devices. IEEE Transactions on Information Forensics and Security, 16, 1696. (***)
(***) Article published in a top 10% most cited journal of the respective field.
- International competition on detection and identification of human beings in aerial pictures.
- SCIMAGO special issue is being planned for selected contributions involved in the above competition.