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» Face Detection and Recognition using Hidden Markov Models
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IVC
2007
266views more  IVC 2007»
14 years 9 months ago
Face detection and facial feature localization without considering the appearance of image context
Face and facial feature detection plays an important role in various applications such as human computer interaction, video surveillance, face tracking, and face recognition. Effi...
Suphakant Phimoltares, Chidchanok Lursinsap, Kosin...
PERCOM
2011
ACM
14 years 1 months ago
Is ontology-based activity recognition really effective?
—While most activity recognition systems rely on data-driven approaches, the use of knowledge-driven techniques is gaining increasing interest. Research in this field has mainly...
Daniele Riboni, Linda Pareschi, Laura Radaelli, Cl...
PR
2007
149views more  PR 2007»
14 years 9 months ago
Real-time detection of steam in video images
In this paper, we present a real-time image processing technique for the detection of steam in video images. The assumption made is that the presence of steam acts as a blurring p...
Ricardo J. Ferrari, H. Zhang, C. R. Kube
ICAPR
2005
Springer
15 years 3 months ago
Millimetre-Wave Personnel Scanners for Automated Weapon Detection
The ATRIUM project aims to the automatic detection of threats hidden under clothes using millimetre-wave imaging. We describe a simulator of realistic millimetre-wave images and a...
Beatriz Grafulla-González, Christopher D. H...
ICPR
2008
IEEE
15 years 4 months ago
A new HMM for on-line character recognition using pen-direction and pen-coordinate features
A new hidden Markov model (HMM) is proposed for on-line character recognition using two typical features, pen-direction feature and pen-coordinate feature. These two features are ...
Yoshinori Katayama, Seiichi Uchida, Hiroaki Sakoe