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» Detecting global motion patterns in complex videos
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AVSS
2006
IEEE
14 years 1 months ago
The Role of Motion Models in Super-Resolving Surveillance Video for Face Recognition
Although the use of super-resolution techniques has demonstrated the ability to improve face recognition accuracy when compared to traditional upsampling techniques, they are difï...
Frank Lin, Clinton Fookes, Vinod Chandran, Sridha ...
ICCV
2007
IEEE
14 years 9 months ago
Extracting Spatiotemporal Interest Points using Global Information
Local spatiotemporal features or interest points provide compact but descriptive representations for efficient video analysis and motion recognition. Current local feature extract...
Shu-Fai Wong, Roberto Cipolla
IBPRIA
2009
Springer
13 years 5 months ago
Real-Time Motion Detection for a Mobile Observer Using Multiple Kernel Tracking and Belief Propagation
We propose a novel statistical method for motion detection and background maintenance for a mobile observer. Our method is based on global motion estimation and statistical backgro...
Marc Vivet, Brais Martínez, Xavier Binefa
CVPR
2009
IEEE
15 years 2 months ago
Observe Locally, Infer Globally: a Space-Time MRF for Detecting Abnormal Activities with Incremental Updates
We propose a space-time Markov Random Field (MRF) model to detect abnormal activities in video. The nodes in the MRF graph correspond to a grid of local regions in the video fra...
Jaechul Kim (University of Texas at Austin), Krist...
MM
2009
ACM
171views Multimedia» more  MM 2009»
14 years 2 months ago
SaVE: sensor-assisted motion estimation for efficient h.264/AVC video encoding
Motion estimation is a key component of modern video encoding and is very compute-intensive. We present a novel Sensor-assisted Video Encoding (SaVE) method to reduce the computat...
XiaoMing Chen, Zhendong Zhao, Ahmad Rahmati, Ye Wa...