TY - GEN
T1 - A background subtraction algorithm for indoor monitoring surveillance systems
AU - Boubekeur, Mohamed Bachir
AU - Luo, Senlin
AU - Labidi, Hocine
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/7/14
Y1 - 2015/7/14
N2 - The use of the gray level intensity is a common practice for most of background subtraction algorithms due to speed matters in real time applications, and performance related considerations, yet using the RGB color representation could increase the efficiency of object detection thus the accuracy of the algorithm increases. In this paper, a non-parametric background subtraction algorithm based on samples modeling, adaptive threshold, and color layers combination is presented. The proposed framework showed an increase in performances regarding the accuracy and the robustness of the detection in indoor situations. The presented performance analysis supports the robustness of the algorithm to gradual illumination changes and ghost artifact.
AB - The use of the gray level intensity is a common practice for most of background subtraction algorithms due to speed matters in real time applications, and performance related considerations, yet using the RGB color representation could increase the efficiency of object detection thus the accuracy of the algorithm increases. In this paper, a non-parametric background subtraction algorithm based on samples modeling, adaptive threshold, and color layers combination is presented. The proposed framework showed an increase in performances regarding the accuracy and the robustness of the detection in indoor situations. The presented performance analysis supports the robustness of the algorithm to gradual illumination changes and ghost artifact.
UR - http://www.scopus.com/inward/record.url?scp=84943161746&partnerID=8YFLogxK
U2 - 10.1109/CIVEMSA.2015.7158605
DO - 10.1109/CIVEMSA.2015.7158605
M3 - Conference contribution
AN - SCOPUS:84943161746
T3 - 2015 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, CIVEMSA 2015
BT - 2015 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, CIVEMSA 2015
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2015 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, CIVEMSA 2015
Y2 - 12 June 2015 through 14 June 2015
ER -