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CVPR
2008
IEEE
15 years 27 days ago
Sequential particle swarm optimization for visual tracking
Visual tracking usually involves an optimization process for estimating the motion of an object from measured images in a video sequence. In this paper, a new evolutionary approac...
Xiaoqin Zhang, Weiming Hu, Stephen J. Maybank, Xi ...
CGF
2008
201views more  CGF 2008»
13 years 11 months ago
Fluid in Video: Augmenting Real Video with Simulated Fluids
We present a technique for coupling simulated fluid phenomena that interact with real dynamic scenes captured as a binocular video sequence. We first process the binocular video s...
Vivek Kwatra, Philippos Mordohai, Rahul Narain, Sa...
CVPR
2010
IEEE
14 years 4 months ago
Visual Tracking via Weakly Supervised Learning from Multiple Imperfect Oracles
Long-term persistent tracking in ever-changing environments is a challenging task, which often requires addressing difficult object appearance update problems. To solve them, most...
Bineng Zhong, Hongxun Yao, Sheng Chen, Xiaotong Yu...
PAMI
2008
235views more  PAMI 2008»
13 years 10 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...
ICIP
2001
IEEE
15 years 14 days ago
A robust motion detection and estimation filter for video signals
The problem of detecting areas of motion in video sequences and estimating parameters such as speed, direction and dynamics is addressed in many applications of image processing s...
Markus Latzel, John K. Tsotsos