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Author Liu, Yanxi ♦ Collins, Robert T. ♦ Tsin, Yanghai
Source CiteSeerX
Content type Text
File Format PDF
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Gait Sequence Representation ♦ Time Axis ♦ Model-based Body Part Segmentation ♦ Gait Representation ♦ Video Sequence ♦ Canonical Tile ♦ Frieze Pattern ♦ Walking Humanoid Avatar ♦ Similar Viewpoint ♦ Frieze Group ♦ Two-dimensional Spatio-temporal Pattern ♦ Frame-to-frame Tracking ♦ Viewing Direction ♦ Periodic Pattern ♦ Gait Frieze Pattern ♦ Gait Sequence Analysis ♦ Dynamic Time ♦ Body Part ♦ Affine Scaling ♦ Gait Alignment ♦ Gait Sequence ♦ Gait Pattern ♦ Human Identification ♦ Symmetry Group
Description We analyze walking people using a gait sequence representation that bypasses the need for frame-to-frame tracking of body parts. The gait representation maps a video sequence of silhouettes into a pair of two-dimensional spatio-temporal patterns that are periodic along the time axis. Mathematically, such patterns are called “frieze ” patterns and associated symmetry groups “frieze groups”. With the help of a walking humanoid avatar, we explore variation in gait frieze patterns with respect to viewing angle, and find that the frieze groups of the gait patterns and their canonical tiles enable us to estimate viewing direction. In addition, analysis of periodic patterns allows us to determine the dynamic time warping and affine scaling that aligns two gait sequences from similar viewpoints. We show how gait alignment can be used to perform human identification and model-based body part segmentation. 1
Proc. of European Conf. on Computer Vision
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research
Education Level UG and PG ♦ Career/Technical Study
Learning Resource Type Article
Publisher Date 2002-01-01