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CVPR
2005
IEEE
14 years 9 months ago
Multiple Object Tracking with Kernel Particle Filter
A new particle filter, Kernel Particle Filter (KPF), is proposed for visual tracking for multiple objects in image sequences. The KPF invokes kernels to form a continuous estimate...
Cheng Chang, Rashid Ansari, Ashfaq A. Khokhar
ICCD
2005
IEEE
224views Hardware» more  ICCD 2005»
14 years 4 months ago
Algorithmic and Architectural Design Methodology for Particle Filters in Hardware
In this paper we present algorithmic and architectural methodology for building Particle Filters in hardware. Particle filtering is a new paradigm for filtering in presence of n...
Aswin C. Sankaranarayanan, Rama Chellappa, Ankur S...
ISPAN
2009
IEEE
14 years 1 months ago
High Speed Articulated Object Tracking Using GPUs: A Particle Filter Approach
—This paper presents a novel application of the GPU processing power to a very computationally demanding articulated human body tracking problem in a view-based approach. This wo...
Raúl Cabido, David Concha, Juan José...
CAEPIA
2003
Springer
14 years 16 days ago
A Method to Adaptively Propagate the Set of Samples Used by Particle Filters
Abstract. In recent years, particle filters have emerged as a useful tool that enables the application of Bayesian reasoning to problems requiring dynamic state estimation. The ef...
Alvaro Soto
ICASSP
2010
IEEE
13 years 7 months ago
Particle filter adaptation for distributed sensors via set membership
A distributed set-membership-constrained particle filter (SMCPF) is developed for decentralized tracking applications using wireless sensor networks. Unlike existing PF alternati...
Shahrokh Farahmand, Stergios I. Roumeliotis, Georg...