Alignment-based Similarity of People Trajectories using Semi-directional Statistics
Abstract: This paper presents a method for comparing people trajectories for video surveillance applications, based on semi-directional statistics. In fact, the modelling of a trajectory as a sequence of angles, speeds and time lags, requires the use of a statistical tool capable to jointly consider periodic and linear variables. Our statistical method is compared with two state-of-the-art methods.
Citation:
Calderara, Simone; Prati, Andrea; Cucchiara, Rita "Alignment-based Similarity of People Trajectories using Semi-directional Statistics" 2010 20th international conference on Pattern Recognition: ICPR 2010, Istanbul, tur, pp. 4275 -4278 , 23-26 August 2010, 2010 DOI: 10.1109/ICPR.2010.1039
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- DOI: 10.1109/ICPR.2010.1039