Learning People Trajectories Using Semi-directional Statistics

Abstract

This paper proposes a system for people trajectory shape analysis by exploiting a statistical approach which accounts for sequences of both directional (the directions of the trajectory) and linear (the speeds) data. A semi-directional distribution (AWLG - Approximated Wrapped and Linear Gaussian) is used with a mixture to find main directions and speeds. A… (More)
DOI: 10.1109/AVSS.2009.34

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Cite this paper

@article{Calderara2009LearningPT, title={Learning People Trajectories Using Semi-directional Statistics}, author={Simone Calderara and Andrea Prati and Rita Cucchiara}, journal={2009 Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance}, year={2009}, pages={213-218} }