Space-Time invariants for 3d motions from projective cameras

Authors:
Ying Piao;Jun Sato
Affiliations:
Department of Computer Science and Engineering, Nagoya Institute of Technology, Nagoya, Japan;Department of Computer Science and Engineering, Nagoya Institute of Technology, Nagoya, Japan
Venue:
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part II
Year:
2006

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Abstract

Recently, it has been shown that invariants on motions can be extracted from sequential images and these can be applied for recognizing dynamic events from images viewed from arbitrary viewpoints. These invariants are called space-time invariants since they are defined in space and time. Unfortunately, the existing space-time invariants are limited for planar motions viewed from affine cameras. In this paper, we propose a method for computing space-time invariants on general 3D motions viewed from projective cameras. Furthermore, we show that by using the epipolar geometry derived from the mutual projection of cameras, the stability of space-time invariants can be improved drastically. The extracted invariants are applied for distinguishing non-rigid 3D motions from video sequences viewed from arbitrary viewpoints.