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3D Single Object Tracking

3D tracking of a single object, based on an initial 3D bounding box, provided to the tracker. 3D single object tracking is commonly performed using point cloud data from Lidars, as it provides valuable depth information, which is lost in camera images. However, irregular point cloud structure and an increasing point sparsity with distance makes Lidar-based 3D single object tracking a nontrivial task.

Papers

Showing 2643 of 43 papers

TitleStatusHype
MBPTrack: Improving 3D Point Cloud Tracking with Memory Networks and Box Priors0
Variational Voxel Pseudo Image TrackingCode0
Object Preserving Siamese Network for Single Object Tracking on Point Clouds0
GLT-T: Global-Local Transformer Voting for 3D Single Object Tracking in Point CloudsCode1
3D-SiamMask: Vision-Based Multi-Rotor Aerial-Vehicle Tracking for a Moving ObjectCode0
CXTrack: Improving 3D Point Cloud Tracking with Contextual Information0
OST: Efficient One-stream Network for 3D Single Object Tracking in Point Clouds0
Exploiting More Information in Sparse Point Cloud for 3D Single Object TrackingCode0
Real-time 3D Single Object Tracking with TransformerCode1
Implicit and Efficient Point Cloud Completion for 3D Single Object Tracking0
3D Siamese Transformer Network for Single Object Tracking on Point CloudsCode1
VPIT: Real-time Embedded Single Object 3D Tracking Using Voxel Pseudo ImagesCode2
A Lightweight and Detector-free 3D Single Object Tracker on Point CloudsCode1
Beyond 3D Siamese Tracking: A Motion-Centric Paradigm for 3D Single Object Tracking in Point CloudsCode2
PTT: Point-Track-Transformer Module for 3D Single Object Tracking in Point CloudsCode1
3D-SiamRPN: An End-to-End Learning Method for Real-Time 3D Single Object Tracking Using Raw Point Cloud0
Box-Aware Feature Enhancement for Single Object Tracking on Point CloudsCode1
F-Siamese Tracker: A Frustum-based Double Siamese Network for 3D Single Object Tracking0
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