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» An Object Tracking Scheme Based on Local Density
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124
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MDM
2004
Springer
15 years 5 months ago
Prediction-Based Strategies for Energy Saving in Object Tracking Sensor Networks
In order to fully realize the potential of sensor networks, energy awareness should be incorporated into every stage of the network design and operation. In this paper, we address...
Yingqi Xu, Julian Winter, Wang-Chien Lee
ACCV
2009
Springer
15 years 7 months ago
Visual Saliency Based Object Tracking
Abstract. This paper presents a novel method of on-line object tracking with the static and motion saliency features extracted from the video frames locally, regionally and globall...
Geng Zhang, Zejian Yuan, Nanning Zheng, Xingdong S...
102
Voted
CVPR
2003
IEEE
16 years 2 months ago
Learning Object Intrinsic Structure for Robust Visual Tracking
In this paper, a novel method to learn the intrinsic object structure for robust visual tracking is proposed. The basic assumption is that the parameterized object state lies on a...
Qiang Wang, Guangyou Xu, Haizhou Ai
ICASSP
2011
IEEE
14 years 4 months ago
Target tracking and localization with ambiguous phase measurements of sensor networks
When tracking a target using phase-only signal returns, range ambiguities are a major issue. In this work, a look-up table between phase measurement space and target location spac...
Yongqiang Cheng, Xuezhi Wang, Terry Caelli, Bill M...
ECCV
2008
Springer
16 years 2 months ago
Tracking of Abrupt Motion Using Wang-Landau Monte Carlo Estimation
Abstract. We propose a novel tracking algorithm based on the WangLandau Monte Carlo sampling method which efficiently deals with the abrupt motions. Abrupt motions could cause conv...
Junseok Kwon, Kyoung Mu Lee