Nature

Re-identification assistance and multi-stage association for pedestrian multi-object tracking

Multi-object tracking (MOT) is a highly challenging task in computer vision that aims to estimate the motion trajectories of objects in a video. Optimizing the performance of MOT algorithms can ...
Nature

M3OT: A Multi-Drone Multi-Modality dataset for Multi-Object Tracking

We provide a dataset for object detection and tracking in aerial imagery, namely “M3OT”. M3OT is a multi-modality vehicle detection and tracking dataset acquired by two Unmanned Aerial Vehicles (UAVs) ...
Phys.org

Researchers detect and classify multiple objects without images

Researchers have developed a new high-speed way to detect the location, size and category of multiple objects without acquiring images or requiring complex scene reconstruction. Because the new ...
EurekAlert!

Vision-based swarm tracking of multiple UAVs in air-to-air scenarios

Our proposed HOMATracker comprises the following steps: (A) Object detection: A detector is used to locate the objects in each frame; (B) Instance-level appearance feature extraction: We involve a ...