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» Multiple Object Class Detection with a Generative Model
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ICASSP
2008
IEEE
15 years 9 months ago
Discriminative learning for optimizing detection performance in spoken language recognition
We propose novel approaches for optimizing the detection performance in spoken language recognition. Two objective functions are designed to directly relate model parameters to tw...
Donglai Zhu, Haizhou Li, Bin Ma, Chin-Hui Lee
EWSN
2009
Springer
15 years 9 months ago
SCOPES: Smart Cameras Object Position Estimation System
In this paper we present SCOPES, a distributed Smart Camera Object Position Estimation sensor network System that provides maps of distribution of people in indoors environments. ...
Ankur Kamthe, Lun Jiang, Matthew Dudys, Alberto Ce...
126
Voted
ICCV
2009
IEEE
1335views Computer Vision» more  ICCV 2009»
16 years 7 months ago
Top-Down Color Attention for Object Recognition
Generally the bag-of-words based image representation follows a bottom-up paradigm. The subsequent stages of the process: feature detection, feature description, vocabulary cons...
Fahad Shahbaz Khan, Joost van de Weijer, Maria Van...
CVPR
1999
IEEE
16 years 4 months ago
A Multiple Hypothesis Approach to Figure Tracking
This paper describes a probabilistic multiple-hypothesis framework for tracking highly articulated objects. In this framework, the probability density of the tracker state is repr...
Tat-Jen Cham, James M. Rehg
128
Voted
CVPR
2012
IEEE
13 years 5 months ago
Detecting regions of interest in dynamic scenes with camera motions
We present a method to detect the regions of interests in moving camera views of dynamic scenes with multiple moving objects. We start by extracting a global motion tendency that ...
Kihwan Kim, Dongryeol Lee, Irfan A. Essa