A high performance object tracking technique with an adaptive search method in surveillance system

Tsung Han Tsai, Chih Hao Chang

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

1 Scopus citations

Abstract

In the video scene, the technique on tracking multiple targets, such as tracking group of people through occlusion, is still challenging. In this paper, we present an algorithm for multiple targets tracking system. We discuss the behavior of the moving objects with adaptive search method. Several cases are classified, including the no match case, only-one match case, split case and occlusion case respectively. With this system, we can track the moving people in successive frame by object boundary box and velocity without color cues or appearance model. Even though people are interacted with each other or the occlusion is caused by other foreground objects, the proposed algorithm can still perform well. Furthermore we consider the people movement with respect to the distance with the camera as an adaptive search range to deal with the condition. As the foreground is similar to the background, the proposed algorithm can still solve the problem on the detection error.

Original languageEnglish
Title of host publicationProceedings - 2014 IEEE International Symposium on Multimedia, ISM 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages353-356
Number of pages4
ISBN (Electronic)9781479943111
DOIs
StatePublished - 5 Feb 2015
Event16th IEEE International Symposium on Multimedia, ISM 2014 - Taichung, Taiwan
Duration: 10 Dec 201412 Dec 2014

Publication series

NameProceedings - 2014 IEEE International Symposium on Multimedia, ISM 2014

Conference

Conference16th IEEE International Symposium on Multimedia, ISM 2014
Country/TerritoryTaiwan
CityTaichung
Period10/12/1412/12/14

Keywords

  • object grouping
  • object tracking
  • surveillance system

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