Heuristic Method of Feature Selection for Person Re-identification Based on Gait Motion Capture Data

2014 ◽  
pp. 585-594 ◽  
Author(s):  
Henryk Josiński ◽  
Agnieszka Michalczuk ◽  
Daniel Kostrzewa ◽  
Adam Świtoński ◽  
Konrad Wojciechowski
Keyword(s):  
Feature Selection ◽  
Motion Capture ◽  
Heuristic Method ◽  
Motion Capture Data ◽  
Selection For

Feature Selection of Motion Capture Data in Gait Identification Challenge Problem

2014 ◽  
pp. 535-544 ◽  
Author(s):  
Adam Świtoński ◽  
Henryk Josiński ◽  
Agnieszka Michalczuk ◽  
Przemysław Pruszowski ◽  
Konrad Wojciechowski
Keyword(s):  
Feature Selection ◽  
Motion Capture ◽  
Motion Capture Data ◽  
Gait Identification ◽  
Selection Of

Correlational Methods for Analysis of Dance Movements

2011 ◽  
Vol 29 (supplement) ◽  
pp. 283-304 ◽  
Author(s):  
Timothy R. Brick ◽  
Steven M. Boker
Keyword(s):  
Motion Capture ◽  
Mirror Symmetry ◽  
Cross Correlation ◽  
The Other ◽  
Free Form ◽  
Motion Capture Data ◽  
Complex Interactions ◽  
Dance Movements ◽  
Time Lagged ◽  
Insight Into

Among the qualities that distinguish dance from other types of human behavior and interaction are the creation and breaking of synchrony and symmetry. The combination of symmetry and synchrony can provide complex interactions. For example, two dancers might make very different movements, slowing each time the other sped up: a mirror symmetry of velocity. Examining patterns of synchrony and symmetry can provide insight into both the artistic nature of the dance, and the nature of the perceptions and responses of the dancers. However, such complex symmetries are often difficult to quantify. This paper presents three methods – Generalized Local Linear Approximation, Time-lagged Autocorrelation, and Windowed Cross-correlation – for the exploration of symmetry and synchrony in motion-capture data as is it applied to dance and illustrate these with examples from a study of free-form dance. Combined, these techniques provide powerful tools for the examination of the structure of symmetry and synchrony in dance.

Chicken Algorithm Based Feature Selection For Arabic Information Searching System

2019 ◽  
pp. 389
Author(s):  
زينب عبدالأمير ◽  
علياء كريم عبدالحسن
Keyword(s):  
Feature Selection ◽  
Information Searching ◽  
Selection For

Perceptually motivated LSPIHT for motion capture data compression

2015 ◽  
Vol 51 ◽  
pp. 1-7 ◽  
Author(s):  
Irene Cheng ◽  
Amirhossein Firouzmanesh ◽  
Anup Basu
Keyword(s):  
Data Compression ◽  
Motion Capture ◽  
Motion Capture Data
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