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SSIAI
2000
IEEE
14 years 1 months ago
A New Bayesian Relaxation Framework for the Estimation and Segmentation of Multiple Motions
In this paper we propose a new probabilistic relaxation framework to perform robust multiple motion estimation and segmentation from a sequence of images. Our approach uses displa...
Alexander Strehl, Jake K. Aggarwal
ICIP
2008
IEEE
14 years 11 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
CVPR
2010
IEEE
14 years 2 months ago
Generalized Simultaneous Registration and Segmentation
Simultaneous registration and segmentation (SRS) provides a powerful framework for tracking an object of interest in an image sequence. The state-of-the-art SRSbased tracking meth...
Pratim Ghosh, Mehmet Emre Sargin, B.S. Manjunath
PETRA
2010
ACM
13 years 7 months ago
Integrating RFID on event-based hemispheric imaging for internet of things assistive applications
Automatic surveillance of a scene in a broad sense comprises one of the core modules of pervasive applications. Typically, multiple cameras are installed in an area to identify ev...
Vassilis Kolias, Ioannis Giannoukos, Christos Anag...
CVPR
2007
IEEE
14 years 11 months ago
Closed-Loop Tracking and Change Detection in Multi-Activity Sequences
We present a novel framework for tracking of a long sequence of human activities, including the time instances of change from one activity to the next, using a closed-loop, non-li...
Bi Song, Namrata Vaswani, Amit K. Roy Chowdhury