RT Journal Article
T1 Motion representation using composite energy features
A1 Dosil Lago, Raquel
A1 Fernández Vidal, Xosé Ramón
A1 Pardo López, Xosé Manuel
K1 Spatio-temporal energy filtering
K1 Feature integration
K1 Composite energy features
K1 Apparent-motion segmentation and tracking
AB This work tackles the segmentation of apparent-motion from a bottom-up perspective. When no information is available to build prior high-level models, the only alternative are bottom-up techniques. Hence, the whole segmentation process relies on the suitability of the low-level features selected to describe motion. A wide variety of low-level spatio-temporal features have been proposed so far. However, all of them suffer from diverse drawbacks. Here, we propose the use of composite energy features in bottom-up motion segmentation to solve several of these problems.Composite energy features are clusters of energy filters—pairs of band-pass filters in quadrature—each one sensitive to a different set of scale, orientation, direction of motion and speed. They are grouped in order to reconstruct independent motion patterns in a video sequence. A composite energy feature, this is, the response of one of these clusters of filters, can be built as a combination of the responses of the individual filters. Therefore, it inherits the desirable properties of energy filters but providing a more complete representation of motion patterns.In this paper, we will present our approach for integration of composite features based on the concept of Phase Congruence. We will show some results that illustrate the capabilities of this low-level motion representation and its usefulness in bottom-up motion segmentation and tracking.
PB Elsevier
SN 0031-3203
YR 2008
FD 2008-03
LK http://hdl.handle.net/10347/32696
UL http://hdl.handle.net/10347/32696
LA eng
NO Dosil, R., Fdez-Vidal, X. R., & Pardo, X. M. (2008). Motion representation using composite energy features. Pattern recognition, 41(3), 1110-1123.
NO This work has been financially supported by the Ministry of Education and Science of the Spanish Government, through the Research Project TIN2006-08447.
DS Minerva
RD 24 abr 2026