DocumentCode :
2512532
Title :
Cascaded Background Subtraction Using Block-Based and Pixel-Based Codebooks
Author :
Guo, Jing-Ming ; Hsu, Chih-Sheng
Author_Institution :
Dept. of Electr. Eng., Nat. Taiwan Univ. of Sci. & Technol., Taipei, Taiwan
fYear :
2010
fDate :
23-26 Aug. 2010
Firstpage :
1373
Lastpage :
1376
Abstract :
This paper presents a cascaded scheme with block-based and pixel-based codebooks for background subtraction. The codebook is mainly used to compress information to achieve high efficient processing speed. In the block-based stage, 12 intensity values are employed to represent a block. The algorithm extends the concept of the Block Truncation Coding (BTC), and thus it can further improve the processing efficiency by enjoying its low complexity advantage. In detail, the block-based stage can remove the most noise without reducing the True Positive (TP) rate, yet it has low precision. To overcome this problem, the pixel-based stage is adopted to enhance the precision, which also can reduce the False Positive (FP) rate. Moreover, this study also presents a color model and a match function which can classify an input pixel as shadow, highlight, background, or foreground. As documented in the experimental results, the proposed algorithm can provide superior performance to that of the former approaches.
Keywords :
image colour analysis; block truncation coding; block-based codebooks; cascaded background subtraction; color model; false positive rate; match function; pixel-based codebooks; true positive rate; Adaptation model; Classification algorithms; Color; Computational modeling; Image color analysis; Pixel; Support vector machine classification; Cascaded Background Subtraction; GMM; block truncations coding;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition (ICPR), 2010 20th International Conference on
Conference_Location :
Istanbul
ISSN :
1051-4651
Print_ISBN :
978-1-4244-7542-1
Type :
conf
DOI :
10.1109/ICPR.2010.339
Filename :
5597665
Link To Document :
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