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» A Co-inference Approach to Robust Visual Tracking
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ICANN
2011
Springer
14 years 1 months ago
Person Tracking Based on a Hybrid Neural Probabilistic Model
This article presents a novel approach for a real-time person tracking system based on particle filters that use different visual streams. Due to the difficulty of detecting a pe...
Wenjie Yan, Cornelius Weber, Stefan Wermter
ICIP
2008
IEEE
15 years 11 months ago
Kernel-based high-dimensional histogram estimation for visual tracking
We propose an approach for non-rigid tracking that represents objects by their set of distribution parameters. Compared to joint histogram representations, a set of parameters suc...
Allen Tannenbaum, James G. Malcolm, Peter Karasev
ICMCS
2006
IEEE
151views Multimedia» more  ICMCS 2006»
15 years 4 months ago
A Robust Method for TV Logo Tracking in Video Streams
Most broadcast stations rely on TV logos to claim video content ownership or visually distinguish the broadcast from the interrupting commercial block. Detecting and tracking a TV...
Jinqiao Wang, Lingyu Duan, Zhenglong Li, Jing Liu,...
CVPR
2006
IEEE
15 years 12 months ago
Fusion of Detection and Matching Based Approaches for Laser Based Multiple People Tracking
Most of visual tracking algorithms have been achieved by matching-based searching strategies or detection-based data association algorithms. In this paper, our objective is to ana...
Jinshi Cui, Huijing Zhao, Ryosuke Shibasaki
CVPR
2008
IEEE
15 years 12 months 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 ...