Detection and Tracking Meet Drones Challenge

• Published in: IEEE transactions on pattern analysis and machine intelligence Vol. 44; no. 11; pp. 7380 - 7399
• Main Authors: Zhu, Pengfei, Wen, Longyin, Du, Dawei, Bian, Xiao, Fan, Heng, Hu, Qinghua, Ling, Haibin
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.11.2022; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Aerial photography; Algorithms; Annotations; benchmark; Benchmark testing; Benchmarks; Computer vision; Conferences; Datasets; Drone; Drones; image object detection; multi-object tracking; Multiple target tracking; Object detection; Object recognition; R&D; Research & development; single object tracking; Suburban areas; Surveillance; Target tracking; Unmanned aerial vehicles; video object detection

Drones, or general UAVs, equipped with cameras have been fast deployed with a wide range of applications, including agriculture, aerial photography, and surveillance. Consequently, automatic understanding of visual data collected from drones becomes highly demanding, bringing computer vision and dro...