DocumentCode :
1721096
Title :
GPU Accelerated Multimodal Background Subtraction
Author :
Carr, Peter
Author_Institution :
RSISE, Australian Nat. Univ., Canberra, ACT
fYear :
2008
Firstpage :
279
Lastpage :
286
Abstract :
Although trivial background subtraction algorithms (such as temporal averaging) can execute quite quickly, they do not give useful results in most situations. More complex algorithms usually provide better results, but are typically too slow for widespread use. Here, we examine the architecture of the GPU and describe how a multimodal background subtraction algorithm can be implemented on graphics hardware to provide useful results in real-time.
Keywords :
coprocessors; image segmentation; GPU; graphics hardware; multimodal background subtraction; Acceleration; Central Processing Unit; Graphics; Hardware; History; Layout; Pixel; Robustness; Traffic control; Vehicle dynamics; GPU; background subtraction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Digital Image Computing: Techniques and Applications (DICTA), 2008
Conference_Location :
Canberra, ACT
Print_ISBN :
978-0-7695-3456-5
Type :
conf
DOI :
10.1109/DICTA.2008.77
Filename :
4700032
Link To Document :
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