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» Probabilistic Object Tracking Using Multiple Features
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PAKDD
2007
ACM
184views Data Mining» more  PAKDD 2007»
14 years 3 months ago
Exploring Group Moving Pattern for an Energy-Constrained Object Tracking Sensor Network
In this paper, we investigate and utilize the characteristic of the group movement of objects to achieve energy conservation in the inherently resource-constrained wireless object ...
Hsiao-Ping Tsai, De-Nian Yang, Wen-Chih Peng, Ming...
IJSYSC
2006
86views more  IJSYSC 2006»
13 years 9 months ago
Cooperative forest fire surveillance using a team of small unmanned air vehicles
The objective of this paper is to explore the feasibility of using multiple low-altitude, short endurance (LASE) unmanned air vehicles (UAVs) to cooperatively monitor and track th...
David W. Casbeer, Derek B. Kingston, Randal W. Bea...
CVPR
2008
IEEE
14 years 11 months ago
Unsupervised feature selection via distributed coding for multi-view object recognition
Object recognition accuracy can be improved when information from multiple views is integrated, but information in each view can often be highly redundant. We consider the problem...
Chris Mario Christoudias, Raquel Urtasun, Trevor D...
ICDCS
2010
IEEE
13 years 10 months ago
Link-Centric Probabilistic Coverage Model for Transceiver-Free Object Detection in Wireless Networks
Abstract--Sensing coverage is essential for most applications in wireless networks. In traditional coverage problem study, the disk coverage model has been widely applied because o...
Dian Zhang, Yunhuai Liu, Lionel M. Ni
AVSS
2006
IEEE
14 years 23 days ago
Classification-Based Likelihood Functions for Bayesian Tracking
The success of any Bayesian particle filtering based tracker relies heavily on the ability of the likelihood function to discriminate between the state that fits the image well an...
Chunhua Shen, Hongdong Li, Michael J. Brooks