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» Capturing People in Surveillance Video
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ICPR
2004
IEEE
14 years 8 months ago
Recognizing Human Actions: A Local SVM Approach
Local space-time features capture local events in video and can be adapted to the size, the frequency and the velocity of moving patterns. In this paper we demonstrate how such fe...
Christian Schüldt, Ivan Laptev, Barbara Caput...
CVPR
2010
IEEE
14 years 4 months ago
Calibration-free gaze sensing using saliency maps
We propose a calibration-free gaze sensing method using visual saliency maps. Our goal is to construct a gaze estimator only using eye images captured from a person watching a vid...
Yusuke Sugano, Yasuyuki Matsushita, Yoichi Sato
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...
3DPVT
2004
IEEE
285views Visualization» more  3DPVT 2004»
13 years 11 months ago
Speech-Driven Face Synthesis from 3D Video
This paper presents a framework for speech-driven synthesis of real faces from a corpus of 3D video of a person speaking. Video-rate capture of dynamic 3D face shape and colour ap...
Ioannis A. Ypsilos, Adrian Hilton, Aseel Turkmani,...
CVPR
2004
IEEE
14 years 9 months ago
Detection and Removal of Rain from Videos
The visual effects of rain are complex. Rain consists of spatially distributed drops falling at high velocities. Each drop refracts and reflects the environment, producing sharp i...
Kshitiz Garg, Shree K. Nayar