Motion representation using composite energy features

TítuloMotion representation using composite energy features
AutoresRaquel Dosil, Xosé R. Fdez-Vidal, Xosé M. Pardo
TipoArtículo de revista
Fonte Pattern Recognition, ELSEVIER SCI LTD , Vol. 41, No. 3, pp. 1110-1123 , 2008.
RankRanked Q1 in Computer Vision and Pattern Recognition by SJR
ISSN0031-3203
DOI10.1016/j.patcog.2007.07.021
AbstractThis work tackles the segmentation of apparent-motion from a bottom-up perspective. When no information is available to build prior highlevel 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 roperties 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.
Palabras chaveSpatio-temporal energy filtering; Feature integration; Composite energy features; Apparent-motion segmentation and tracking

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