The rapid movements and agile maneuvers of unmanned aerial vehicles (UAVs) induce significant observational challenges for multi-object tracking (MOT). However, existing UAV-perspective MOT benchmarks often lack these complexities, featuring predominantly predictable camera dynamics and linear motion patterns. To address this gap, we introduce DynUAV, a new benchmark for dynamic UAV-perspective MOT, characterized by intense ego-motion and the resulting complex apparent trajectories. The benchmark comprises 42 video sequences with over 1.7 million bounding box annotations, covering vehicles, pedestrians, and specialized industrial categories such as excavators, bulldozers and cranes. Compared to existing benchmarks, DynUAV introduces substantial challenges arising from ego-motion, including drastic scale changes and viewpoint changes, as well as motion blur. Comprehensive evaluations of state-of-the-art trackers on DynUAV reveal their limitations, particularly in managing the intertwined challenges of detection and association under such dynamic conditions, thereby establishing DynUAV as a rigorous benchmark. We anticipate that DynUAV will serve as a demanding testbed to spur progress in real-world UAV-perspective MOT, and we will make all resources available at link.
UAUTrack: Towards Unified Multimodal Anti-UAV Visual Tracking
College of Intelligent Robotics and Advanced Manufacturing（智能机器人与先进制造学院）；Fudan University（复旦大学）；School of Computer Science and Technology（计算机科学与技术学院）；Zhejiang Normal University（浙江师范大学）；Department of Mechanical Engineering（机械工程系）；The Hong Kong Polytechnic University（香港理工大学）
Learning Motion Blur Robust Vision Transformers for Real-Time UAV Tracking
College of Computer Science（计算机科学学院）；Guilin University of Technology（桂林理工大学）；School of Computer Science（计算机科学学院）；Fudan University（复旦大学）；Sun Yat-sen University（中山大学）；Sichuan University（四川大学）
STATrack: A Target-Aware Fully Spiking Neural Network for Efficient UAV Tracking
College of Computer Science and Engineering, Guilin University of Technology（桂林理工大学计算机科学与工程学院）；School of Artificial Intelligence, Sun Yat-sen University（中山大学人工智能学院）；School of Electronic Information, Central South University（中南大学电子信息学院）
TrackingMiM: Efficient Mamba-in-Mamba Serialization for Real-time UAV Object Tracking
Department of Electronic and Electrical Engineering, Southern University of Science and Technology（电子与电气工程系，南方科技大学）；Peng Cheng Laboratory（鹏城实验室）；Department of Applied Mathematics and Theoretical Physics, University of Cambridge（应用数学与理论物理系，剑桥大学）；State Grid Corporation of China（国家电网公司）；East China Institute of Computing Technology（东部计算技术研究所）；Shenzhen Key Laboratory of Robotics and Computer Vision（深圳机器人与计算机视觉重点实验室）
Robust Single Object Tracking in LiDAR Point Clouds under Adverse Weather Conditions
School of Mathematical Sciences, Dalian University of Technology（大连理工大学数学科学学院）；School of Economics and Management, China University of Mining and Technology（中国矿业大学经济管理学院）；DUT-BSU Joint Institute, Dalian University of Technology（大连理工大学-白俄罗斯国立大学联合学院）
MambaTrack: Exploiting Dual-Enhancement for Night UAV Tracking
Cooperative Medianet Innovation Center（合作 medi 创新中心）；Shanghai Jiao Tong University（上海交通大学）；Hong Kong University of Science and Technology (Guangzhou)（香港科技大学（广州））；CloudWalk Technology（云从科技）；Shanghai AI Laboratory（上海人工智能实验室）
CGTrack: Cascade Gating Network with Hierarchical Feature Aggregation for UAV Tracking
Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences（杭州高等研究院，中国科学院大学）；Dept. of Computer Science and Engineering, University of North Texas（计算机科学与工程系，北卡罗来纳州立大学）；Institute of Software Chinese Academy of Science（中国科学院软件研究所）
STCMOT: Spatio-Temporal Cohesion Learning for UAV-Based Multiple Object Tracking
University of Chinese Academy of Sciences（中国科学院大学）；Institute of Optics and Electronics（光电技术研究所）；Friedrich-Alexander-Universität Erlangen-Nürnberg（埃尔朗根-纽伦堡弗里德里希-亚历山大大学）
BuckTales : A multi-UAV dataset for multi-object tracking and re-identification of wild antelopes
Max Planck Institute of Animal Behavior（马克斯·普朗克动物行为研究所）；University of Konstanz（康斯坦茨大学）；Indian Institute of Science（印度科学学院）；BITS Pilani Hyderabad（BITS Pilani海得拉巴校区）
Teaching in adverse scenes: a statistically feedback-driven threshold and mask adjustment teacher-student framework for object detection in UAV images under adverse scenes
Southwest Jiaotong University（西南交通大学）；Chinese Academy of Surveying and Mapping（中国测绘科学研究院）
Anti-UAV: A Large Multi-Modal Benchmark for UAV Tracking
University of Chinese Academic of Sciences（中国科学院大学）；Institute of Automation, Chinese Academy of Sciences（中国科学院自动化研究所）；Institute of North Electronic Equipment（北方电子设备研究所）；Baidu Research（百度研究院）
Deep Learning for UAV-based Object Detection and Tracking: A Survey
Beijing Institute of Technology（北京理工大学）；Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences（中国科学院空天信息创新研究院数字地球科学重点实验室）；Mississippi State University（密西西比州立大学）
WebUAV-3M: A Benchmark for Unveiling the Power of Million-Scale Deep UAV Tracking
Shanghai Jiao Tong University（上海交通大学）；CloudWalk Technology Co., Ltd（云从科技有限公司）；Shenzhen Research Institute of Big Data, the Chinese University of Hong Kong, Shenzhen（香港中文大学（深圳）深圳大数据研究院）；Institute of Information Engineering, Chinese Academy of Sciences（中国科学院信息工程研究所）；JD Explore Academy in JD.com（京东集团京东探索研究院）；University of Sydney（悉尼大学）
Beijing Institute of Technology（北京理工大学）；Space Engineering University（航天工程大学）；Chongqing Innovation Center, Beijing Institute of Technology（北京理工大学重庆创新中心）
How Far are Modern Trackers from UAV-Anti-UAV? A Million-Scale Benchmark and New Baseline
Shanghai Jiao Tong University（上海交通大学）；Hong Kong University of Science and Technology (Guangzhou)（香港科技大学（广州））；CloudWalk Technology Co., Ltd（云walk科技有限公司）；School of Artificial Intelligence, Shanghai Jiao Tong University（上海交通大学人工智能学院）；School of Aeronautics and Astronautics, Sun Yat-sen University（中山大学航空宇航学院）；Institute of Information Engineering, Chinese Academy of Sciences（中国科学院信息工程研究所）
Dynamic Semantic-Aware Correlation Modeling for UAV Tracking
College of Computer Science and Artificial Intelligence, Fudan University（计算机科学与人工智能学院，复旦大学）；College of Intelligent Robotics and Advanced Manufacturing, Fudan University（智能机器人与先进制造学院，复旦大学）
