Multi-object trackingObject detectionDrone imageryWhile most multi-object tracking methods based on tracking-by-detection use either spatial or appearance cues for associating detections or apply one cue after another, our proposed PAS tracker employs a novel similarity measure that combines position, ...
Integrates position and appearance data for drone video multi-object tracking.Enhances detector with Coordinate Attention and weighted Bidirectional Feature Pyramid Network.Models feature points' receptive fields as Gaussian distributions.Utilizes adaptive noise covariance Kalman filter for precise position data....
Multi-object tracking (MOT) on static platforms, such as by surveillance cameras, has achieved significant progress, with various paradigms providing attractive performances. However, the effectiveness of traditional MOT methods is significantly reduced when it comes to dynamic platforms like drones. This...
Moreover, an agent sharing network (ASNet) is proposed by self-supervised template sharing and view-aware fusion of the target from multiple drones, which can improve the tracking accuracy significantly compared with single drone tracking. Extensive experiments on MDOT show that our ASNet ...
title={Robust Multi-Drone Multi-Target Tracking to Resolve Target Occlusion: A Benchmark}, author={Liu, Zhihao and Shang, Yuanyuan and Li, Timing and Chen, Guanlin and Wang, Yu and Hu, Qinghua and Zhu, Pengfei}, journal={IEEE Transactions on Multimedia}, ...
Vis Drone: Tracking videos captured by drone-mounted cameras. JTA Dataset: A huge dataset for pedestrian pose estimation and tracking in urban scenarios created by exploiting the highly photorealistic video game Grand Theft Auto V developed by Rockstar North. ...
Vis Drone: Tracking videos captured by drone-mounted cameras. JTA Dataset: A huge dataset for pedestrian pose estimation and tracking in urban scenarios created by exploiting the highly photorealistic video game Grand Theft Auto V developed by Rockstar North. ...
In this paper we present a large-scale visual object detection and tracking benchmark, named VisDrone2018, aiming at advancing visual understanding tasks on the drone platform. The images and video sequences in the benchmark were captured over various urban/suburban areas of 14 different cities ac...
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Vis Drone: Tracking videos captured by drone-mounted cameras. JTA Dataset: A huge dataset for pedestrian pose estimation and tracking in urban scenarios created by exploiting the highly photorealistic video game Grand Theft Auto V developed by Rockstar North. ...