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ICIP
2008
IEEE
16 years 8 months ago
Feature-based object modelling for visual surveillance
This paper introduces a new feature-based technique for implicitly modelling objects in visual surveillance. Previous work has generally employed background subtraction and other ...
Gary Baugh, Anil C. Kokaram
MICCAI
2008
Springer
16 years 7 months ago
Active Volume Models with Probabilistic Object Boundary Prediction Module
We propose a novel Active Volume Model (AVM) which deforms in a free-form manner to minimize energy. Unlike Snakes and level-set active contours which only consider curves or surfa...
Tian Shen, Yaoyao Zhu, Xiaolei Huang, Junzhou H...
WACV
2012
IEEE
14 years 2 months ago
Simultaneous inference of activity, pose and object
Human movements are important cues for recognizing human actions, which can be captured by explicit modeling and tracking of actor or through space-time low-level features. Howeve...
Furqan M. Khan, Vivek Kumar Singh, Ram Nevatia
CVPR
2006
IEEE
16 years 8 months ago
Automatic Kinematic Chain Building from Feature Trajectories of Articulated Objects
We investigate the problem of learning the structure of an articulated object, i.e. its kinematic chain, from feature trajectories under affine projections. We demonstrate this po...
Jingyu Yan, Marc Pollefeys
ICCV
2005
IEEE
16 years 8 months ago
Integration of Conditionally Dependent Object Features for Robust Figure/Background Segmentation
We propose a new technique for fusing multiple cues to robustly segment an object from its background in video sequences that suffer from abrupt changes of both illumination and p...
Francesc Moreno-Noguer, Alberto Sanfeliu, Dimitris...