44 citations · 49 across the 5 of their papers we have counts for
6 papers · 1 filter
Beyond the Survey: A Systematic Empirical Study of Detection and Association in Visual MOT
Linh Van Ma, Juhua Hu, Wei Cheng +2
This paper presents a comprehensive experimental evaluation and detailed analysis of state-of-the-art multi-object tracking algorithms, with an emphasis on quantifying the individu…
Efficient Online 3D Multi-Camera Multi-Object Tracking and Pose Estimation
Linh Van Ma, Tran Thien Dat Nguyen, Juhua Hu +2
This paper proposes a fast and online method for jointly performing 3D multi-object tracking and pose estimation using multiple monocular cameras. Our algorithm requires only 2D bo…
3D Ground Truth Reconstruction from Multi-Camera Annotations Using UKF
Linh Van Ma, Unse Fatima, Tepy Sokun Chriv +2
Accurate 3D ground truth estimation is critical for applications such as autonomous navigation, surveillance, and robotics. This paper introduces a novel method that uses an Unscen…
3D Multi-Object Tracking Employing MS-GLMB Filter for Autonomous Driving
Linh Van Ma, Muhammad Ishfaq Hussain, Kin-Choong Yow +1
The MS-GLMB filter offers a robust framework for tracking multiple objects through the use of multi-sensor data. Building on this, the MV-GLMB and MV-GLMB-AB filters enhance the MS…
Visual Multi-Object Tracking with Re-Identification and Occlusion Handling using Labeled Random Finite Sets
Linh Van Ma, Tran Thien Dat Nguyen, Changbeom Shim +3
This paper proposes an online visual multi-object tracking (MOT) algorithm that resolves object appearance-reappearance and occlusion. Our solution is based on the labeled random f…
Track Initialization and Re-Identification for~3D Multi-View Multi-Object Tracking
Linh Van Ma, Tran Thien Dat Nguyen, Ba-Ngu Vo +2
We propose a 3D multi-object tracking (MOT) solution using only 2D detections from monocular cameras, which automatically initiates/terminates tracks as well as resolves track appe…