DocumentCode
2513980
Title
Alignment-Based Similarity of People Trajectories Using Semi-directional Statistics
Author
Calderara, Simone ; Prati, Andrea ; Cucchiara, Rita
Author_Institution
D.I.I., Univ. of Modena & Reggio Emilia, Modena, Italy
fYear
2010
fDate
23-26 Aug. 2010
Firstpage
4275
Lastpage
4278
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.
Keywords
image motion analysis; statistical analysis; video surveillance; alignment-based similarity; people trajectories; semidirectional statistics; statistical method; statistical tool; video surveillance applications; Clustering algorithms; Feature extraction; Hidden Markov models; Silicon; Time measurement; Time series analysis; Trajectory; Trajectory analysis; circular statistics; people video surveillance;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition (ICPR), 2010 20th International Conference on
Conference_Location
Istanbul
ISSN
1051-4651
Print_ISBN
978-1-4244-7542-1
Type
conf
DOI
10.1109/ICPR.2010.1039
Filename
5597755
Link To Document