no code implementations • 1 Jan 2024 • Hoa Van Nguyen, Tran Thien Dat Nguyen, Changbeom Shim, Marzhar Anuar
In particular, we construct a smooth-trajectory estimator (i. e., an estimator over the entire trajectories of labelled estimates) for the LMB filter based on the history of the best association map and all of the measurements up to the current time.
no code implementations • 23 Oct 2023 • Ji Youn Lee, Changbeom Shim, Hoa Van Nguyen, Tran Thien Dat Nguyen, Hyunjin Choi, YoungHo Kim
To address such problems, a divide-and-conquer manner has been employed with parallel computation.
no code implementations • 1 Jun 2021 • Cong-Thanh Do, Tran Thien Dat Nguyen, Hoa Van Nguyen
This paper proposes an efficient and robust algorithm to estimate target trajectories with unknown target detection profiles and clutter rates using measurements from multiple sensors.
1 code implementation • 22 Apr 2021 • Tran Thien Dat Nguyen, Ba-Ngu Vo, Ba-Tuong Vo, Du Yong Kim, Yu Suk Choi
Determining the trajectories of cells and their lineages or ancestries in live-cell experiments are fundamental to the understanding of how cells behave and divide.
no code implementations • 8 Aug 2020 • Tran Thien Dat Nguyen, Hamid Rezatofighi, Ba-Ngu Vo, Ba-Tuong Vo, Silvio Savarese, Ian Reid
This paper examines performance evaluation criteria for basic vision tasks involving sets of objects namely, object detection, instance-level segmentation and multi-object tracking.
1 code implementation • 2 Aug 2020 • Cong-Thanh Do, Tran Thien Dat Nguyen, Diluka Moratuwage, Changbeom Shim, Yon Dohn Chung
The challenges in multi-object tracking mainly stem from the random variations in the cardinality and states of objects during the tracking process.
1 code implementation • Sensors 2019 • Tran Thien Dat Nguyen, Du Yong Kim
In the forward filtering stage, we use the GLMB filter to generate a set of labels and the association history between labels and the measurements.