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» Modeling complex luminance variations for target tracking
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SAC
2008
ACM
14 years 8 months ago
Adaptive methods for sequential importance sampling with application to state space models
Abstract. In this paper we discuss new adaptive proposal strategies for sequential Monte Carlo algorithms--also known as particle filters--relying on new criteria evaluating the qu...
Julien Cornebise, Eric Moulines, Jimmy Olsson
117
Voted
ECCV
2004
Springer
15 years 11 months ago
A Boosted Particle Filter: Multitarget Detection and Tracking
The problem of tracking a varying number of non-rigid objects has two major difficulties. First, the observation models and target distributions can be highly non-linear and non-Ga...
Kenji Okuma, Ali Taleghani, Nando de Freitas, Jame...
JSW
2007
120views more  JSW 2007»
14 years 9 months ago
Constraint-based Model Transformation: Tracing the Preservation of Semantic Properties
Abstract— We present and evaluate a novel constraintbased model transformation approach that implements a preservation-centric view. The proposed framework comprises formal prese...
Thomas Triebsees
CDC
2009
IEEE
184views Control Systems» more  CDC 2009»
15 years 1 months ago
A closed loop musculoskeletal model of postural coordination dynamics
A closed-loop model with actuator dynamics and sensory feedback has been developed to capture the complex postural behaviors observed in a human head tracking task. In motor-contro...
Vincent Bonnet, Philippe Fraisse, Nacim Ramdani, J...
90
Voted
JMM2
2007
212views more  JMM2 2007»
14 years 9 months ago
Flux Tensor Constrained Geodesic Active Contours with Sensor Fusion for Persistent Object Tracking
— This paper makes new contributions in motion detection, object segmentation and trajectory estimation to create a successful object tracking system. A new efficient motion det...
Filiz Bunyak, Kannappan Palaniappan, Sumit Kumar N...