This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
A GPU-based implementation of motion detection from a moving platform
Anchorage, AK, USA
June 23-June 28
ISBN: 978-1-4244-2339-2
Qian Yu, Institute for Robotics and Intelligent Systems, University of Southern California, USA
Gerard Medioni, Institute for Robotics and Intelligent Systems, University of Southern California, USA
We describe a GPU-based implementation of motion detection from a moving platform. Motion detection from a moving platform is inherently difficult as the moving camera induces 2D motion field in the entire image. A step compensating for camera motion is required prior to estimating of the background model. Due to inevitable registration errors, the background model is estimated according to a sliding window of frames to avoid the case where erroneous registration influences the quality of the detection for the whole sequence. However, this approach involves several characteristics that put a heavy burden on real-time CPU implementation. We exploit GPU to achieve significant acceleration over standard CPU implementations. Our GPU-based implementation can build the background model and detect motion regions at around 18 fps on 320×240 videos that are captured for a moving camera.
Citation:
Qian Yu, Gerard Medioni, "A GPU-based implementation of motion detection from a moving platform," cvprw, pp.1-6, 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2008
Usage of this product signifies your acceptance of the Terms of Use.