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CGF
2008
201views more  CGF 2008»
14 years 12 months ago
Fluid in Video: Augmenting Real Video with Simulated Fluids
We present a technique for coupling simulated fluid phenomena that interact with real dynamic scenes captured as a binocular video sequence. We first process the binocular video s...
Vivek Kwatra, Philippos Mordohai, Rahul Narain, Sa...
CVPR
2008
IEEE
16 years 1 months ago
Learning 4D action feature models for arbitrary view action recognition
In this paper we present a novel approach using a 4D (x,y,z,t) action feature model (4D-AFM) for recognizing actions from arbitrary views. The 4D-AFM elegantly encodes shape and m...
Pingkun Yan, Saad M. Khan, Mubarak Shah
ICIP
2004
IEEE
16 years 1 months ago
Markerless motion capture with single and multiple cameras
The aim of Optical Motion Capture is to sequentially estimate the true state X of the subject (generally an articulated body) at any time instant tk from a set of data Dk, capture...
Paris Kaimakis, Joan Lasenby
CVPR
2012
IEEE
13 years 2 months ago
Two-person interaction detection using body-pose features and multiple instance learning
Human activity recognition has potential to impact a wide range of applications from surveillance to human computer interfaces to content based video retrieval. Recently, the rapi...
Kiwon Yun, Jean Honorio, Debaleena Chattopadhyay, ...
ICASSP
2011
IEEE
14 years 3 months ago
Video anomaly recovery from compressed spectral imaging
This paper addresses the problem of video anomaly recovery from a sequence of spectrally compressed video frames. Analysis of anomalies occurring in both time and spectrum is impo...
Ana B. Ramirez, Henry Arguello, Gonzalo R. Arce