Mar 27, 2023 · Multi-object tracking (MOT) aims at estimating bounding boxes and identities of objects across video frames. Detection boxes serve as the basis of both 2D and 3D MOT. The …

Jul 20, 2017 · We show that objects that move in 3D are tracked better than objects moving in 2D and that the magnitude of this improvement increases with the mean distance between objects …

Mar 19, 2025 · This paper introduces a novel 3D multi-object tracker based on tracking-by-detection (TBD) framework. The system leverages parallel feature extraction and data …

Jan 1, 2023 · Three-dimensional multiple object tracking (3D-MOT) has been used in various fields to mimic real-life tracking, especially in perceptual-cognitive skills training for soccer. …

May 1, 2024 · We introduce an online 3D multi-object tracking-by-detection framework. An affinity merges position correlation and geometric features for association. Distance-based trajectory …

Mar 30, 2022 · Specifically, through multi-scale interactive query and fusion between pixel-level and point-level features, our method, can obtain more distinguishing features to improve the …

Mar 9, 2025 · Multi-object tracking (MOT) is a fundamental problem in computer vision that involves tracing the trajectories of foreground targets throughout a video sequence while …

Multi-object tracking (MOT) enables mobile robots to perform well-informed motion planning and navigation by localizing surrounding objects in 3D space and time. 3D multi-object tracking in …

3D Multi-Object Tracking. 3D MOT systems often share the same components as 2D MOT systems. The distinction lies in that the input detections are in the 3D space instead of the …

3D Multi-object tracking (MOT) is crucial to au-tonomous systems. Recent work uses a standard tracking-by-detection pipeline, where feature extraction is first per-formed independently for …