Local descriptors for spatio-temporal recognition (2004)
| Venue: | In First International Workshop on Spatial Coherence for Visual Motion Analysis |
| Citations: | 20 - 4 self |
BibTeX
@INPROCEEDINGS{Laptev04localdescriptors,
author = {Ivan Laptev and Tony Lindeberg},
title = {Local descriptors for spatio-temporal recognition},
booktitle = {In First International Workshop on Spatial Coherence for Visual Motion Analysis},
year = {2004}
}
OpenURL
Abstract
Abstract. This paper presents and investigates a set of local spacetime descriptors for representing and recognizing motion patterns in video. Following the idea of local features in the spatial domain, we use the notion of space-time interest points and represent video data in terms of local space-time events. To describe such events, we define several types of image descriptors over local spatio-temporal neighborhoods and evaluate these descriptors in the context of recognizing human activities. In particular, we compare motion representations in terms of spatio-temporal jets, position dependent histograms, position independent histograms, and principal component analysis computed for either spatio-temporal gradients or optic flow. An experimental evaluation on a video database with human actions shows that high classification performance can be achieved, and that there is a clear advantage of using local position dependent histograms, consistent with previously reported findings regarding spatial recognition. 1







