2207

GPU Accelerated Multimodal Background Subtraction

Peter Carr
RSISE, Australian National University, Canberra, ACT, Australia
Digital Image Computing: Techniques and Applications, 2008. DICTA ’08.
BibTeX

Download Download (PDF)   View View   Source Source   

1590

views

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.
No votes yet.
Please wait...

Recent source codes

* * *

* * *

HGPU group © 2010-2025 hgpu.org

All rights belong to the respective authors

Contact us:

contact@hpgu.org