Detecting anomaly in videos from trajectory similarity analysis

Yue Zhou, Shuicheng Yan, Thomas S. Huang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Trajectories of moving objects provide crucial clues for video event analysis especially in surveillance applications. In this paper, we study the problem of detecting anomalous events by analyzing the motion trajectories in videos. Different trajectories of the same category may have varying relative velocities, in addition to the variations and noises in location samples; hence the core of the problem is to provide a robust and accurate function for measuring the similarities of trajectory pairs. We propose a novel learning based algorithm for estimating the similarities of the multi-dimensional sequence pairs, and then an anomaly detection framework is presented to detect anomalous motion trajectories in surveillance videos. Our proposed algorithm offers several advantages over the traditional algorithms for dealing with the trajectories of moving objects. First, the similarity measurement is robust against data imperfections such as noise, algorithmic error and etc. Second, we introduce a learning algorithm which allows the similarity function to be adapted to the particular problems being solved. Third, the proposed anomaly detection framework is fully automatic and without parametric distribution assumption on the data. The experiments on both outdoor and indoor surveillance videos validate the effectiveness of our proposed framework in detecting anomalous trajectories.

Original languageEnglish (US)
Title of host publicationProceedings of the 2007 IEEE International Conference on Multimedia and Expo, ICME 2007
PublisherIEEE Computer Society
Pages1087-1090
Number of pages4
ISBN (Print)1424410177, 9781424410170
DOIs
StatePublished - Jan 1 2007
EventIEEE International Conference onMultimedia and Expo, ICME 2007 - Beijing, China
Duration: Jul 2 2007Jul 5 2007

Publication series

NameProceedings of the 2007 IEEE International Conference on Multimedia and Expo, ICME 2007

Other

OtherIEEE International Conference onMultimedia and Expo, ICME 2007
CountryChina
CityBeijing
Period7/2/077/5/07

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Software

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