Recovery method based particle filter for object tracking in complex environment

Yuhi Shiina, Takeshi Ikenaga

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

Abstract

Object tracking is a key process for various image recognition applications, and many algorithms have been proposed in this field. Especially, particle filter has possibility for tracking objects steadily thanks to prediction using many particles. However, other objects that are a similar color or shape with a tracking object hijack a tracking region if there were such objects nearby the tracking object. It is a critical problem. This paper proposes a recovery method based particle filter by focusing a feature regions attached to an object. This proposal tracks both a feature region and an object including the region at once. This proposal utilizes a recovery method that pulls a tracking region back to an appropriate position using the prior frame's distance and angle between the two tracking regions when the tracking region is hijacked by other objects. Some video sequences including complex environment have been tested for evaluating this proposal. The experimental results show that this proposal can track a specified person in the sequences, while conventional method cannot track the person. This result represents that recovery method of proposal effectively works when other objects hijack the tracking region.

Original languageEnglish
Title of host publication2012 Conference Handbook - Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2012
Publication statusPublished - 2012 Dec 1
Event2012 4th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2012 - Hollywood, CA, United States
Duration: 2012 Dec 32012 Dec 6

Publication series

Name2012 Conference Handbook - Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2012

Other

Other2012 4th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2012
CountryUnited States
CityHollywood, CA
Period12/12/312/12/6

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ASJC Scopus subject areas

  • Information Systems

Cite this

Shiina, Y., & Ikenaga, T. (2012). Recovery method based particle filter for object tracking in complex environment. In 2012 Conference Handbook - Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2012 [6411763] (2012 Conference Handbook - Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2012).