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» Novel Observation Model for Probabilistic Object Tracking
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ICCCN
2008
IEEE
14 years 2 months ago
TRACK: A Novel Connected Dominating Set based Sink Mobility Model for WSNs
—The core functionality of a wireless sensor network (WSN) is to detect deviations in expected normal behavior and report it to the sink. In this paper, we propose TRACK — a no...
Avinash Srinivasan, Jie Wu
ICMCS
2006
IEEE
149views Multimedia» more  ICMCS 2006»
14 years 1 months ago
Improved Graphical Model for Audiovisual Object Tracking
Object tracking plays an important role in multimedia surveillance systems, in which the major types of data are video and audio captured by cameras and microphone arrays. In this...
Hao Tang, Thomas S. Huang
PCM
2004
Springer
135views Multimedia» more  PCM 2004»
14 years 1 months ago
Probabilistic Face Tracking Using Boosted Multi-view Detector
Face tracking in realistic environments is a difficult problem due to pose variations, occlusions of objects, illumination changes and cluttered background, among others. The paper...
Peihua Li, Haijing Wang
ICCV
2005
IEEE
14 years 1 months ago
LOCUS: Learning Object Classes with Unsupervised Segmentation
We address the problem of learning object class models and object segmentations from unannotated images. We introduce LOCUS (Learning Object Classes with Unsupervised Segmentation...
John M. Winn, Nebojsa Jojic
ICCV
2003
IEEE
14 years 9 months ago
Inferring 3D Structure with a Statistical Image-Based Shape Model
We present an image-based approach to infer 3D structure parameters using a probabilistic "shape+structure" model. The 3D shape of an object class is represented by sets...
Kristen Grauman, Gregory Shakhnarovich, Trevor Dar...