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.
Alignment-based Similarity of People Trajectories using Semi-directional Statistics / Calderara, Simone; Prati, Andrea; Cucchiara, Rita. - ELETTRONICO. - (2010), pp. 4275-4278. (Intervento presentato al convegno 2010 20th International Conference on Pattern Recognition, ICPR 2010 tenutosi a Istanbul ,Turkey nel 23-26 August 2010) [10.1109/ICPR.2010.1039].
Alignment-based Similarity of People Trajectories using Semi-directional Statistics
CALDERARA, Simone;CUCCHIARA, Rita
2010
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.
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