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» Object Recognition Using Segmentation for Feature Detection
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ICIP
2005
IEEE
15 years 7 months ago
HMM-based motion recognition system using segmented PCA
In this paper, we propose a novel technique for modelbased recognition of complex object motion trajectories using Hidden Markov Models (HMM). We build our models on Principal Com...
Faisal I. Bashir, Wei Qu, Ashfaq A. Khokhar, Dan S...
CIVR
2007
Springer
254views Image Analysis» more  CIVR 2007»
15 years 5 months ago
Soccer players identification based on visual local features
Semantic detection and recognition of objects and events contained in a video stream has to be performed in order to provide content-based annotation and retrieval of videos. This...
Lamberto Ballan, Marco Bertini, Alberto Del Bimbo,...
ICPR
2010
IEEE
15 years 7 months ago
Multi-Modal Emotion Recognition Using Canonical Correlations and Acoustic Features
The information of the psycho-physical state of the subject is becoming a valuable addition to the modern audio or video recognition systems. As well as enabling a better user exp...
Rok Gajsek, Vitomir Struc, France Mihelic
CVPR
2007
IEEE
16 years 4 months ago
Unsupervised Segmentation of Objects using Efficient Learning
We describe an unsupervised method to segment objects detected in images using a novel variant of an interest point template, which is very efficient to train and evaluate. Once a...
Himanshu Arora, Nicolas Loeff, David A. Forsyth, N...
ICCV
2005
IEEE
16 years 3 months ago
An Expectation Maximization Approach to the Synergy between Image Segmentation and Object Categorization
In this work we deal with the problem of modelling and exploiting the interaction between the processes of image segmentation and object categorization. We propose a novel framewo...
Iasonas Kokkinos, Petros Maragos