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ISCAS
2005
IEEE
171views Hardware» more  ISCAS 2005»
15 years 5 months ago
Compressed-domain fall incident detection for intelligent home surveillance
—This paper presents a compressed-domain fall incident detection scheme for intelligent home surveillance applications. For object extraction, global motion parameters are estima...
Chia-Wen Lin, Zhi-Hong Ling, Yuan-Cheng Chang, Chu...
CVPR
2012
IEEE
13 years 2 months ago
We are not contortionists: Coupled adaptive learning for head and body orientation estimation in surveillance video
In this paper, we deal with the estimation of body and head poses (i.e orientations) in surveillance videos, and we make three main contributions. First, we address this issue as ...
Cheng Chen, Jean-Marc Odobez
AVSS
2007
IEEE
15 years 6 months ago
Midground object detection in real world video scenes
Traditional video scene analysis depends on accurate background modeling to identify salient foreground objects. However, in many important surveillance applications, saliency is ...
Brian Valentine, Senyo Apewokin, Linda M. Wills, D...
CVPR
2007
IEEE
16 years 1 months ago
Epitomic Representation of Human Activities
We introduce an epitomic representation for modeling human activities in video sequences. A video sequence is divided into segments within which the dynamics of objects is assumed...
Naresh P. Cuntoor, Rama Chellappa
ICCV
2001
IEEE
16 years 1 months ago
Topology Free Hidden Markov Models: Application to Background Modeling
Hidden Markov Models (HMMs) are increasingly being used in computer vision for applications such as: gesture analysis, action recognition from video, and illumination modeling. Th...
Bjoern Stenger, Visvanathan Ramesh, Nikos Paragios...