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