Visual tracking using a pixelwise spatiotemporal oriented energy representation

Authors:
Kevin J. Cannons;Jacob M. Gryn;Richard P. Wildes
Affiliations:
Department of Computer Science and Engineering, York University, Toronto, Ontario, Canada;Department of Computer Science and Engineering, York University, Toronto, Ontario, Canada;Department of Computer Science and Engineering, York University, Toronto, Ontario, Canada
Venue:
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part IV
Year:
2010

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Abstract

This paper presents a novel pixelwise representation for visual tracking that models both the spatial structure and dynamics of a target in a unified fashion. The representation is derived from spatiotemporal energy measurements that capture underlying local spacetime orientation structure at multiple scales. For interframe motion estimation, the feature representation is instantiated within a pixelwise template warping framework; thus, the spatial arrangement of the pixelwise energy measurements remains intact. The proposed target representation is extremely rich, including appearance and motion information as well as information about how these descriptors are spatially arranged. Qualitative and quantitative empirical evaluation on challenging sequences demonstrates that the resulting tracker outperforms several alternative state-of-the-art systems.