Kernel Density Estimation Method Basing on Color and Motion Features Frame for Moving Object Detection

DOI

10.2991/icicci-15.2015.17How to use a DOI?

Keywords

Keywords-kernel density; feature frame; color feature; motion feature

Abstract

Abstract—Due to large calculations and complex background updating problems of kernel density estimation, this paper proposes a feature frame building method based on the combination of color feature and motion information, using this method to extract the number of samples N, it can not only reflect the global information of image but also reflect local information variations of image, besides it can effectively solve the inaccurate problem of the sample numbers, thereby enhancing the instantaneity of kernel density estimation algorithm.

Copyright

© 2015, 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  - Yu Guo
AU  - Ziqiang Shen
PY  - 2015/09
DA  - 2015/09
TI  - Kernel Density Estimation Method Basing on Color and Motion Features Frame for Moving Object Detection
BT  - Proceedings of the 2nd International Conference on Intelligent Computing and Cognitive Informatics
PB  - Atlantis Press
SP  - 77
EP  - 81
SN  - 1951-6851
UR  - https://doi.org/10.2991/icicci-15.2015.17
DO  - 10.2991/icicci-15.2015.17
ID  - Guo2015/09
ER  -