Research on Moving Target Tracking and Information Filtering in Complex Building Environment

DOI

10.2991/icmemtc-16.2016.12How to use a DOI?

Keywords

Local intensity ratio vector; visual object tracking; local surface model; moving object detection; moving object tracking; local two element model

Abstract

An algorithm of target tracking based on information filteringBook and particle filter is proposed in this paper. Accurate foreground region through the fusion of neighbour-information is segmented and features of foreground are extract to build an initial template for particle filter. The experimental results show that this algorithm can overcome the interference of target intersection and complex background environment to track the target stably and better than the particle filter algorithm in literature on the accuracy, robustness and real-time performance.

Copyright

© 2016, 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  - Xiangyi Bu
PY  - 2016/04
DA  - 2016/04
TI  - Research on Moving Target Tracking and Information Filtering in Complex Building Environment
BT  - Proceedings of the 2016 3rd International Conference on Materials Engineering, Manufacturing Technology and Control
PB  - Atlantis Press
SP  - 56
EP  - 59
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmemtc-16.2016.12
DO  - 10.2991/icmemtc-16.2016.12
ID  - Bu2016/04
ER  -