Majlesi Journal of Multimedia Processing, Volume (1), No (3), Year (2011-9) , Pages (1-7)

Title : ( Path Normalization for Traffic Surveillance Video Retrieval )

Authors: Ehsan Lotfi , Hamid Reza Pourreza ,

Citation: BibTeX | EndNote


In this paper we present a novel method based on path normalization for classification in the traffic surveillance videos. Extracting the low level feature vectors in various sizes and recording all spatial-temporal information without fixed sampling rate are the main reason in this normalization. The normalized feature vectors are used for unsupervised learning and since most people of society have legal traffic behaviors system can extract the necessary knowledge automatically to detect illegal behavior. In the proposed structure, decision making for these behaviors is based on spatial-temporal features. The experimental results show high accuracy in trajectories classification using path normalization.


, Trajectories clustering, Behavior extraction, Spatial-temporal features
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author = {Ehsan Lotfi and Pourreza, Hamid Reza},
title = {Path Normalization for Traffic Surveillance Video Retrieval},
journal = {Majlesi Journal of Multimedia Processing},
year = {2011},
volume = {1},
number = {3},
month = {September},
issn = {2251-6255},
pages = {1--7},
numpages = {6},
keywords = {Trajectories clustering; Behavior extraction; Spatial-temporal features},


%0 Journal Article
%T Path Normalization for Traffic Surveillance Video Retrieval
%A Ehsan Lotfi
%A Pourreza, Hamid Reza
%J Majlesi Journal of Multimedia Processing
%@ 2251-6255
%D 2011