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» Detecting Unusual Activity in Video
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PR
2008
124views more  PR 2008»
13 years 7 months ago
A daily behavior enabled hidden Markov model for human behavior understanding
This paper presents a Hierarchical Context Hidden Markov Model (HC-HMM) for behavior understanding from video streams in a nursing center. The proposed HC-HMM infers elderly behav...
Pau-Choo Chung, Chin-De Liu
BCSHCI
2009
13 years 8 months ago
A vision-based system for display interaction
This paper presents a system for interaction with a display via hand pointing, where a single CCD camera on top of the screen is directed towards the viewers. An attention mechani...
Björn Stenger, Thomas Woodley, Tae-Kyun Kim, ...
CVPR
2009
IEEE
15 years 2 months ago
Dense saliency-based spatiotemporal feature points for action recognition
Several spatiotemporal feature point detectors have been recently used in video analysis for action recognition. Feature points are detected using a number of measures, namely sali...
Konstantinos Rapantzikos, Stefanos D. Kollias, Yan...
PAMI
2007
245views more  PAMI 2007»
13 years 7 months ago
Tracking People by Learning Their Appearance
—An open vision problem is to automatically track the articulations of people from a video sequence. This problem is difficult because one needs to determine both the number of p...
Deva Ramanan, David A. Forsyth, Andrew Zisserman
FGR
2011
IEEE
205views Biometrics» more  FGR 2011»
12 years 11 months ago
High resolution face sequences from a PTZ network camera
Abstract— We propose here to acquire high resolution sequences of a person’s face using a pan-tilt-zoom (PTZ) network camera. This capability should prove helpful in forensic a...
Thang Ba Dinh, Nam Vo, Gérard G. Medioni