Title
On The Use Of Anthropometry In The Invariant Analysis Of Human Actions
Abstract
In this paper, we propose a novel approach to matching human actions using semantic correspondence between human bodies with an eye towards invariant analysis of activity. The correspondences are used to provide geometric constraints between multiple anatomical landmarks (e.g. hands, shoulders and feet) to match actions performed from different viewpoints and in different environments. The fact that the human body has certain anthropométrie proportion allows innovative use of the machinery of epipolar geometry to provide constraints to accurately analyze actions performed by different people leading to some interesting results. Temporally invariant matching is performed, using non-linear time warping, to ensure that similar actions performed at different rates are accurately matched as well. Thus, the proposed algorithm guarantees that both temporal and view invariance is maintained in matching. We demonstrate the versatility of our algorithm in a number of challenging sequences and applications.
Publication Date
12-20-2004
Publication Title
Proceedings - International Conference on Pattern Recognition
Volume
2
Number of Pages
923-926
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
DOI Link
https://doi.org/10.1109/ICPR.2004.1334410
Copyright Status
Unknown
Socpus ID
10044274362 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/10044274362
STARS Citation
Gritai, Alexei; Sheikh, Yaser; and Shah, Mubarak, "On The Use Of Anthropometry In The Invariant Analysis Of Human Actions" (2004). Scopus Export 2000s. 4755.
https://stars.library.ucf.edu/scopus2000/4755