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EVENT
2001
140views more  EVENT 2001»
15 years 7 months ago
Multimodal 3-D Tracking and Event Detection via the Particle Filter
Determining the occurrence of an event is fundamental to developing systems that can observe and react to them. Often, this determination is based on collecting video and/or audio...
Dmitry N. Zotkin, Ramani Duraiswami, Larry S. Davi...
IJCAI
2003
15 years 7 months ago
Switching Hypothesized Measurements: A Dynamic Model with Applications to Occlusion Adaptive Joint Tracking
This paper proposes a dynamic model supporting multimodal state space probability distributions and presents the application of the model in dealing with visual occlusions when tr...
Yang Wang 0002, Tele Tan, Kia-Fock Loe
NIPS
2000
15 years 7 months ago
Learning and Tracking Cyclic Human Motion
We present methods for learning and tracking human motion in video. We estimate a statistical model of typical activities from a large set of 3D periodic human motion data by segm...
Dirk Ormoneit, Hedvig Sidenbladh, Michael J. Black...
145
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IJWMC
2006
84views more  IJWMC 2006»
15 years 6 months ago
Resilient and energy efficient tracking in sensor networks
: We present a new distributed mechanism for tracking moving objects with a network of sensors. To track such objects efficiently and accurately, we need techniques that allow the ...
Maria Halkidi, Dimitris Papadopoulos, Vana Kaloger...
167
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JCP
2008
161views more  JCP 2008»
15 years 6 months ago
Interacting Multiple Model Particle-type Filtering Approaches to Ground Target Tracking
Ground maneuvering target tracking is a class of nonlinear and/or no-Gaussian filtering problem. A new interacting multiple model unscented particle filter (IMMUPF) is presented to...
Ronghua Guo, Zheng Qin, Xiangnan Li, Junliang Chen