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» An Object Tracking Scheme Based on Local Density
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89
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ICASSP
2011
IEEE
14 years 4 months ago
Robust video object tracking based on multiple kernels with projected gradients
In kernel-based video object tracking, the use of single kernel often suffers from the occlusion. In order to provide more robust tracking performance, multiple inter-related kern...
Chun-Te Chu, Jenq-Neng Hwang, Hung-I. Pai, Kung-Mi...
ICONIP
2009
14 years 10 months ago
Robust Incremental Subspace Learning for Object Tracking
In this paper, we introduce a novel incremental subspace based object tracking algorithm. The two major contributions of our work are the Robust PCA based occlusion handling scheme...
Gang Yu, Zhiwei Hu, Hongtao Lu
97
Voted
RAS
2007
161views more  RAS 2007»
14 years 12 months ago
Multi-robot mobility enhanced hop-count based localization in ad hoc networks
The localization problem is important in mobile robots and wireless sensor network and has been studied for many years. Among many localization methods, the hop-count based approa...
Terence Chung Hsin Sit, Zheng Liu, Marcelo H. Ang ...
ICIP
2004
IEEE
16 years 2 months ago
A detection-based multiple object tracking method
In this paper we describe a method for tracking multiple objects whose number is unknown and varies during tracking. Based on preliminary results of object detection in each image...
Mei Han, Amit Sethi, Wei Hua, Yihong Gong
ICIP
2005
IEEE
15 years 6 months ago
Improving particle filter with support vector regression for efficient visual tracking
—Particle filter is a powerful visual tracking tool based on sequential Monte Carlo framework, and it needs large numbers of samples to properly approximate the posterior density...
Guangyu Zhu, Dawei Liang, Yang Liu, Qingming Huang...