Paper Info
Title
Spatial codebook for robust background detection in visual information analysis
Abstract
Background detection is an important procedure for visual information processing with static cameras. In real applications, background always co-occurred with disturbance information such as small motions and unusual lighting conditions. In this paper, a robust method is proposed by using the spatial codebook method, where the elementary codebook generation unit is the pixels with their neighborhood ones. In the training procedure. features are first extracted for spatial unit. Second, a clustering technique using k-means method is adopted to generate the preliminary codebook. Then the outlier removal technique is used to obtain more descriptive codebook. In the testing procedure, if the pixel belongs to the background region, it should be represented by one of the generated codebooks. Experimental evaluations show that the proposed method is effective in clustered background.
Year
DOI
Venue
2013
10.1145/2499788.2499874
ICIMCS
Keywords
Field
DocType
preliminary codebook,spatial codebook method,k-means method,background detection,background region,robust background detection,descriptive codebook,visual information analysis,important procedure,elementary codebook generation unit,robust method,clustering
Outlier removal,Computer vision,U-matrix,Linde–Buzo–Gray algorithm,Pattern recognition,Computer science,Visual information processing,Pixel,Artificial intelligence,Cluster analysis,Codebook
Conference
Citations 
PageRank 
References 
0
0.34
9
Authors
2
Name
Order
Citations
PageRank
Yuhao Jiang152.21
Hua Duan211019.58