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» Object Recognition Using Segmentation for Feature Detection
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159
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ACMSE
2005
ACM
15 years 12 months ago
Investigating hidden Markov models capabilities in anomaly detection
Hidden Markov Model (HMM) based applications are common in various areas, but the incorporation of HMM's for anomaly detection is still in its infancy. This paper aims at cla...
Shrijit S. Joshi, Vir V. Phoha
AMFG
2005
IEEE
256views Biometrics» more  AMFG 2005»
15 years 12 months ago
Robust Facial Landmark Detection for Intelligent Vehicle System
Abstract. This paper presents an integrated approach for robustly locating facial landmark for drivers. In the first step a cascade of probability learners is used to detect the f...
Junwen Wu, Mohan M. Trivedi
180
Voted
SPIESR
2003
136views Database» more  SPIESR 2003»
15 years 7 months ago
Automatic Soccer Video Analysis and Summarization
Abstract—We propose a fully automatic and computationally efficient framework for analysis and summarization of soccer videos using cinematic and object-based features. The propo...
Ahmet Ekin, A. Murat Tekalp
CVIU
2006
162views more  CVIU 2006»
15 years 6 months ago
Unsupervised scene analysis: A hidden Markov model approach
This paper presents a new approach to scene analysis, which aims at extracting structured information from a video sequence using directly low-level data. The method models the se...
Manuele Bicego, Marco Cristani, Vittorio Murino
CVPR
2003
IEEE
16 years 8 months ago
Learning a discriminative classifier using shape context distances
For purpose of object recognition, we learn one discriminative classifier based on one prototype, using shape context distances as the feature vector. From multiple prototypes, th...
Hao Zhang 0003, Jitendra Malik