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» Object detection with vector quantized binary features
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AVBPA
2001
Springer
114views Biometrics» more  AVBPA 2001»
15 years 2 months ago
Speaker Discriminative Weighting Method for VQ-Based Speaker Identification
: We consider the matching function in vector quantization based speaker identification system. The model of a speaker is a codebook generated from the set of feature vectors from ...
Tomi Kinnunen, Pasi Fränti
ENC
2004
IEEE
15 years 1 months ago
Feature Selection for Visual Gesture Recognition Using Hidden Markov Models
Hidden Markov models have become the preferred technique for visual recognition of human gestures. However, the recognition rate depends on the set of visual features used, and al...
José Antonio Montero, Luis Enrique Sucar
CVPR
2001
IEEE
15 years 11 months ago
Feature Reduction and Hierarchy of Classifiers for Fast Object Detection in Video Images
We present a two-step method to speed-up object detection systems in computer vision that use Support Vector Machines (SVMs) as classifiers. In a first step we perform feature red...
Bernd Heisele, Thomas Serre, Sayan Mukherjee, Toma...
ICIP
2007
IEEE
15 years 3 months ago
Propagating Image-Level Part Statistics to Enhance Object Detection
The bag-of-words approach has become increasingly attractive in the fields of object category recognition and scene classification, witnessed by some successful applications [5, 7...
Sheng Gao, Joo-Hwee Lim, Qibin Sun
ICANN
2007
Springer
15 years 3 months ago
A Topology-Independent Similarity Measure for High-Dimensional Feature Spaces
In the field of computer vision feature matching in high dimensional feature spaces is a commonly used technique for object recognition. One major problem is to find an adequate s...
Jochen Kerdels, Gabriele Peters