DocumentCode
3575947
Title
Online multi-target tracking using non-linear motion estimation
Author
Sijong Kim ; Myung Jin Chung
Author_Institution
Dept. of Electr. Eng., KAIST, Daejeon, South Korea
fYear
2014
Firstpage
663
Lastpage
664
Abstract
This paper deals with an online multi-target tracking method applicable to real world applications such as surveillance systems, traffic monitoring, and driving assistance systems. The proposed method consists of three stages, non-linear motion estimation in continuous time domain, hypothesis generation, data association. We tested the proposed method on publicly available video sequences and analyzed the results of the proposed method.
Keywords
heuristic programming; image sequences; motion estimation; object tracking; sensor fusion; target tracking; video signal processing; continuous time domain; data association; hypothesis generation; nonlinear motion estimation; online multitarget tracking; video sequence; Computational modeling; Logic gates; Motion estimation; Target tracking; Time-domain analysis; Trajectory; data association; non-linear motion; online multi-target tracking;
fLanguage
English
Publisher
ieee
Conference_Titel
Ubiquitous Robots and Ambient Intelligence (URAI), 2014 11th International Conference on
Type
conf
DOI
10.1109/URAI.2014.7057490
Filename
7057490
Link To Document