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GTC ON-DEMAND

Computer Vision
Presentation
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Fermi in Action: Robust Background Subtraction for Real-time Video Analysis
Speakers:
Melvin Wong
- Institute for Infocomm Research
Abstract:
Background subtraction is one of the important image processing steps for video surveillance and many computer vision problems such as tracking & recognition. However, robust background subtraction that adapts well to variable environment changes is highly computational and consumed large amount of memory. Thus, its practical application is often limited. Here, we aimed to expand its usage and tackle vision problems that requires high frame rate camera such as real-time sports analysis, real-time object detection and recognition. Using recent advances in accelerator hardware - NVIDIA Fermi Architecture and taking advantage of heterogeneous computing , we are able to gain good performance that allows to use in these practical applications.
 
Topics:
Computer Vision
Type:
Poster
Event:
GTC Silicon Valley
Year:
2010
Session ID:
P10F04
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