Target Tracking Algorithm Based on Sparse Representation of Cooperative Template

DOI

10.2991/eame-17.2017.60How to use a DOI?

Keywords

sparse representation; cooperative template; Target tracking; target template

Abstract

Aiming at the problem that the matching error between the target template and the candidate template. In this paper, a new target tracking algorithm based on sparse representation of cooperative template is proposed. When constructing the target template, the global and local templates were used to set up the collaborative template to describe the target; in order to further deal with the influence of occlusion factors, the sparse coefficient were weighted pretreatment; Making full use of the local information of the target, and combining the global information, the measurement function was designed to calculate the similarity between the candidate target and the target template. Experimental results show that the proposed method is robust to rotation, partial occlusion and scale change.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Qisen Lin
AU  - Ming Li
AU  - Xiaoxu Li
PY  - 2017/04
DA  - 2017/04
TI  - Target Tracking Algorithm Based on Sparse Representation of Cooperative Template
BT  - Proceedings of the 2017 2nd International Conference on Electrical, Automation and Mechanical Engineering (EAME 2017)
PB  - Atlantis Press
SP  - 256
EP  - 260
SN  - 2352-5401
UR  - https://doi.org/10.2991/eame-17.2017.60
DO  - 10.2991/eame-17.2017.60
ID  - Lin2017/04
ER  -