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» Integration of Background Modeling and Object Tracking
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CVPR
2005
IEEE
16 years 4 months ago
Robust and Efficient Foreground Analysis for Real-Time Video Surveillance
We present a new method to robustly and efficiently analyze foreground when we detect background for a fixed camera view by using mixture of Gaussians models and multiple cues. Th...
Ying-li Tian, Max Lu, Arun Hampapur
130
Voted
3DIM
2007
IEEE
15 years 9 months ago
Tracking of Human Body Parts using the Multiocular Contracting Curve Density Algorithm
In this contribution we introduce the Multiocular Contracting Curve Density algorithm (MOCCD), a novel method for fitting a 3D parametric curve. The MOCCD is integrated into a tr...
Markus Hahn, Lars Krüger, Christian Wöhl...
126
Voted
CVPR
2005
IEEE
16 years 4 months ago
Combining Object and Feature Dynamics in Probabilistic Tracking
Objects can exhibit different dynamics at different scales, and this is often exploited by visual tracking algorithms. A local dynamic model is typically used to extract image fea...
Leonid Taycher, John W. Fisher III, Trevor Darrell
ICPR
2010
IEEE
15 years 9 months ago
Integrating Object Detection with 3D Tracking towards a Better Driver Assistance System
Driver assistance helps save lives. Accurate 3D pose is required to establish if a traffic sign is relevant to the driver. We propose a real-time system that integrates single vi...
Victor Adrian Prisacariu, Radu Timofte, Karel Zimm...
PAMI
2008
235views more  PAMI 2008»
15 years 2 months ago
Dependent Multiple Cue Integration for Robust Tracking
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 po...
Francesc Moreno-Noguer, Alberto Sanfeliu, Dimitris...