Multi-Object Tracking (MOT) aims to detect and associate all desired objects across frames.
Most methods accomplish the task by explicitly or implicitly leveraging strong cues (ie …

Object tracking is a key technology in the field of intelligent vehicle environmental
perception. Accurate and efficient object tracking technologies provide autonomous vehicles …

Kalman filter-based tracking-by-detection (KFTBD) trackers are effective methods for solving
multi-person tracking tasks. However, in crowd circumstances, noisy detection results …

Multiple object tracking (MOT) of unmanned aerial vehicle (UAV) systems is essential for
both defense and civilian applications. As drone technology moves towards real-time …

Abstract Multi-Object Tracking (MOT) encompasses various tracking scenarios each
characterized by unique traits. Effective trackers should demonstrate a high degree of …

Accurate data association is crucial in reducing confusion such as ID switches and
assignment errors in multi-object tracking (MOT). However existing advanced methods often …

Handling unreliable detections and avoiding identity switches are crucial for the success of
multiple object tracking (MOT). Ideally, MOT algorithm should use true positive detections …

Multiple object tracking (MOT), as a typical application scenario of computer vision, has
attracted significant attention from both academic and industrial communities. With its rapid …

Multi-Object Tracking (MOT) remains a vital component of intelligent video analysis, which
aims to locate targets and maintain a consistent identity for each target throughout a video …

Despite extensive exploration of more powerful multi-object tracking (MOT) frameworks, the
impact of frequent occlusion has remained a formidable challenge. In this work, we present …