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» Selecting relevant features for human motion recognition
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ICPR
2010
IEEE
13 years 5 months ago
Action Recognition Using Space-Time Shape Difference Images
A common approach to human action recognition is to use 2-D silhouettes in the space-time volume as a basis for further extraction of useful features. In this paper, we present a ...
Hao Qu, Liang Wang 0001, Christopher Leckie
CIVR
2007
Springer
164views Image Analysis» more  CIVR 2007»
14 years 1 months ago
Inducing a perceptual relevance shape classifier
In this paper, we develop a system to classify the outputs of image segmentation algorithms as perceptually relevant or perceptually irrelevant with respect to human perception. T...
Victoria J. Hodge, John P. Eakins, James Austin
ICONIP
2010
13 years 5 months ago
Exploring Features and Classifiers to Classify MicroRNA Expression Profiles of Human Cancer
Recently, some non-coding small RNAs, known as microRNAs (miRNA), have drawn a lot of attention to identify their role in gene regulation and various biological processes. The miRN...
Kyung-Joong Kim, Sung-Bae Cho
ICIP
2005
IEEE
14 years 1 months ago
Silhouette-based probabilistic 2D human motion estimation for real-time applications
This paper presents a novel technique for 2D human motion estimation using a single non calibrated camera. The user’s five crucial human features (head, hands and feet) are ext...
Pedro Correa, Jacek Czyz, Toshiyuki Umeda, Ferran ...
ICPR
2002
IEEE
14 years 8 months ago
Analysis and Recognition of Walking Movements
We present an approach for recognizing human walking movements using low-level motion regularities and constraints. Biomechanical features for classification are automatically ext...
James W. Davis, Stephanie R. Taylor