scholarly journals A Control Technique for 3D Object Tracking on Active Stereo Vision Robot

2005 ◽  
Vol 125 (3) ◽  
pp. 536-537 ◽  
Author(s):  
Masaaki Shibata ◽  
Taiga Honma
Keyword(s):  
Object Tracking ◽  
Stereo Vision ◽  
Control Technique ◽  
3D Object ◽  
Active Stereo

scholarly journals A Two-Stage Data Association Approach for 3D Multi-Object Tracking

Sensors ◽  
2021 ◽  
Vol 21 (9) ◽  
pp. 2894
Author(s):  
Minh-Quan Dao ◽  
Vincent Frémont
Keyword(s):  
Object Detection ◽  
Object Tracking ◽  
Moving Objects ◽  
Data Association ◽  
Autonomous Driving ◽  
Tracking Accuracy ◽  
Two Stage ◽  
Bipartite Matching ◽  
3D Object ◽  
3D Object Detection

Multi-Object Tracking (MOT) is an integral part of any autonomous driving pipelines because it produces trajectories of other moving objects in the scene and predicts their future motion. Thanks to the recent advances in 3D object detection enabled by deep learning, track-by-detection has become the dominant paradigm in 3D MOT. In this paradigm, a MOT system is essentially made of an object detector and a data association algorithm which establishes track-to-detection correspondence. While 3D object detection has been actively researched, association algorithms for 3D MOT has settled at bipartite matching formulated as a Linear Assignment Problem (LAP) and solved by the Hungarian algorithm. In this paper, we adapt a two-stage data association method which was successfully applied to image-based tracking to the 3D setting, thus providing an alternative for data association for 3D MOT. Our method outperforms the baseline using one-stage bipartite matching for data association by achieving 0.587 Average Multi-Object Tracking Accuracy (AMOTA) in NuScenes validation set and 0.365 AMOTA (at level 2) in Waymo test set.

Multiple 3D Object Tracking using ROI and Double Filtering for Augmented Reality

2011 ◽  
Author(s):  
Jin-Hyung Park ◽  
Dong-Hwan Seo ◽  
Min-Seok Ku ◽  
In-Yong Jung ◽  
Chang-Sung Jeong
Keyword(s):  
Augmented Reality ◽  
Object Tracking ◽  
3D Object

scholarly journals Object Tracking with a Multiagent Robot System and a Stereo Vision Camera

2014 ◽  
Vol 69 ◽  
pp. 968-973 ◽  
Author(s):  
Filip Šuligoj ◽  
Bojan Šekoranja ◽  
Marko Švaco ◽  
Bojan Jerbić
Keyword(s):  
Object Tracking ◽  
Stereo Vision ◽  
Robot System

Correlation-based particle filter for 3D object tracking

2009 ◽  
Vol 16 (2) ◽  
pp. 165-177 ◽  
Author(s):  
Jean-Charles Noyer ◽  
Patrick Lanvin ◽  
Mohammed Benjelloun
Keyword(s):  
Particle Filter ◽  
Object Tracking ◽  
3D Object

Active Stereo Vision

2021 ◽  
pp. 27-32
Author(s):  
Andrew Hogue ◽  
Michael Jenkin
Keyword(s):  
Stereo Vision ◽  
Active Stereo
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