Title :
Improved codebook model based on spatio-temporal context
Author :
Gan Huang ; Jiangqin Gui ; Weiyi He ; Guodong Wei ; Zihan Cong ; Dexiang Zhong ; Jianwei Zhang
Author_Institution :
Sch. of Comput. Sci. & Eng., South China Univ. of Technol., Guangzhou, China
Abstract :
Spatio-temporal context refers to the information of each pixel´s historical status and its adjacent pixels. The proposed algorithm applies the spatio-temporal context to the detection of foregrounds. It is based on the codebook model. For each pixel, a weight value is calculated according to the spatio-temporal context of this pixel to influence the detecting conditions. The algorithm can make the detecting results more accurate, especially in the interference regions such as the waving trees and the sudden illumination.
Keywords :
image coding; object detection; adjacent pixels; foreground detection; illumination; improved codebook model; interference regions; object detection; pixel historical status; spatio-temporal context; waving trees; weight value; Abstracts; Context; Context modeling; Educational institutions; Gallium nitride; Real-time systems; Shape; Background subtraction; Codebook model; Object detection; Spatio-temporal context;
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2014 International Conference on
Conference_Location :
Lanzhou
Print_ISBN :
978-1-4799-4216-9
DOI :
10.1109/ICMLC.2014.7009125
