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Object Tracking and Person Re-Identification on Manifolds

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Citation Author(s):
Submitted by:
Conrad Sanderson
Last updated:
23 February 2016 - 1:43pm
Document Type:
Presentation Slides
Document Year:

Abstract 

Abstract: 

Slides from the Tutorial on Riemannian Geometry in Computer Vision, presented at the Asian Conference on Computer Vision (ACCV), Singapore, 2014.

The slides show (1) how objects can be interpreted as points on Riemannian and Grassmann manifolds, and (2) various distance measures on manifolds. Demonstrates usefulness of manifold techniques in applications such as object tracking and person re-identification.

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1 user has voted: Conrad Sanderson

Dataset Files

sanderson_riemannian_geometry_tutorial_slides_accv_2014.pdf

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