Moving Object and Shadow Detection Algorithm Using Lab Color Space
- 10.2991/icmmita-16.2016.16How to use a DOI?
- Lab space; background subtraction; Color algorithm; moving object detection; shadow detection
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.
- © 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/).
Cite this article
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 -