152 search results - page 20 / 31 » Learning a Sparse Representation for Object Detection |
110
Voted
NIPS
2000
15 years 29 days ago
2000
It has long been known that lateral inhibition in neural networks can lead to a winner-take-all competition, so that only a single neuron is active at a steady state. Here we show...
106
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Publication
We present an algorithm for multi-person tracking-bydetection
in a particle filtering framework. To address the
unreliability of current state-of-the-art object detectors, our
a...
120
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ECCV
2004
Springer
16 years 1 months ago
2004
Springer
This paper presents a Bayesian framework for multi-cue 3D object tracking of deformable objects. The proposed spatio-temporal object representation involves a set of distinct linea...
115
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BMVC
2010
14 years 9 months ago
2010
Recognizing 3D objects from arbitrary view points is one of the most fundamental problems in computer vision. A major challenge lies in the transition between the 3D geometry of o...
143
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CRV
2011
IEEE
13 years 11 months ago
2011
IEEE
—Motion information is an important cue for a robot to separate foreground moving objects from the static background world. Based on the observation that the motion of the backgr...