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CVPR
2009
IEEE
15 years 2 months ago
Learning to Track with Multiple Observers
We propose a novel approach to designing algorithms for object tracking based on fusing multiple observation models. As the space of possible observation models is too large for...
Björn Stenger, Roberto Cipolla, Thomas Woodle...
ICIP
2002
IEEE
14 years 9 months ago
Likelihood normalization for face authentication in variable recording conditions
In this paper we evaluate the effectiveness of two likelihood normalization techniques, the Background Model Set (BMS) and the Universal Background Model (UBM), for improving perf...
Kuldip K. Paliwal, Conrad Sanderson
DDECS
2009
IEEE
128views Hardware» more  DDECS 2009»
14 years 2 months ago
A fast untestability proof for SAT-based ATPG
—Automatic Test Pattern Generation (ATPG) based on Boolean satisfiability (SAT) has been shown to be a beneficial complement to traditional ATPG techniques. Boolean solvers wor...
Daniel Tille, Rolf Drechsler
ICMCS
2005
IEEE
201views Multimedia» more  ICMCS 2005»
14 years 1 months ago
Head Tracking Using Particle Filter with Intensity Gradient and Color Histogram
This paper presents a method for tracking human head using a particle filter to naturally integrate two complementary cues: intensity gradient and color histogram. The shape of th...
Xinyu Xu, Baoxin Li
TEC
2008
98views more  TEC 2008»
13 years 7 months ago
Opposition-Based Differential Evolution
Evolutionary Algorithms (EAs) are well-known optimization approaches to cope with non-linear, complex problems. These population-based algorithms, however, suffer from a general we...
Shahryar Rahnamayan, Hamid R. Tizhoosh, Magdy M. A...