Video sequence querying using clustering of objects' appearance models

Yunqian Ma, Ben Miller, Isaac Cohen

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


In this paper, we present an approach for addressing the 'query by example' problem in video surveillance, where a user specifies an object of interest and would like the system to return some images (e.g. top five) of that object or its trajectory by searching a large network of overlapping or non-overlapping cameras. The approach proposed is based on defining an appearance model for every detected object or trajectory in the network of cameras. The model integrates relative position, color, and texture descriptors of each detected object. We present a 'pseudo track' search method for querying using a single appearance model. Moreover, the availability of tracking within every camera can further improve the accuracy of such association by incorporating information from several appearance models belonging to the object's trajectory. For this purpose, we present an automatic clustering technique allowing us to build a multi-valued appearance model from a collection of appearance models. The proposed approach does not require any geometric or colorimetric calibration of the cameras. Experiments from a mass transportation site demonstrate some promising results.

Original languageEnglish
Title of host publicationAdvances in Visual Computing - Third International Symposium, ISVC 2007, Proceedings
PublisherSpringer Verlag
Number of pages12
EditionPART 2
ISBN (Print)9783540768555
StatePublished - 2007
Externally publishedYes
Event3rd International Symposium on Visual Computing, ISVC 2007 - Lake Tahoe, NV, United States
Duration: 26 Nov 200728 Nov 2007

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume4842 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference3rd International Symposium on Visual Computing, ISVC 2007
Country/TerritoryUnited States
CityLake Tahoe, NV

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science (all)


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