Moving Object and Shadow Detection Algorithm Using Lab Color Space

DOI

10.2991/icmmita-16.2016.16How to use a DOI?

Keywords

Lab space; background subtraction; Color algorithm; moving object detection; shadow detection

Abstract

Taking advantage of independence of chromaticity and brightness in Lab space, this paper transplants the idea separating the brightness distortion from the chromaticity distortion mentioned in the Color Algorithm into Lab space, redefine the brightness distortion and chromaticity distortion. Based on the new computational color model, the paper simplifies and improves the formulas relevant. Besides, aiming at the problem of outdoor illumination change, this paper also updates the brightness of outdoor background combined with frame difference in time. The experiment proved that the improved algorithm shows good effect of detecting moving target and shadow. Compared with the original algorithm, the improved algorithm can better adapt to detection of vehicles and shadow outdoor.

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  - Zhiyong Ju
AU  - Xiaolei He
AU  - Chaonan Wang
PY  - 2017/01
DA  - 2017/01
TI  - Moving Object and Shadow Detection Algorithm Using Lab Color Space
BT  - Proceedings of the 2016 4th International Conference on Machinery, Materials and Information Technology Applications
PB  - Atlantis Press
SP  - 79
EP  - 85
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmmita-16.2016.16
DO  - 10.2991/icmmita-16.2016.16
ID  - Ju2017/01
ER  -