Fuzzy color histogram based kernel tracking under varying illumination

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

5 Scopus citations

Abstract

A conventional color histogram is sensitive to noisy interference such as lighting changes and quantization errors. Therefore the tracker based on conventional color histogram is unreliable or even failed under varying illumination. In this paper we propose a dynamically corrected fuzzy color histogram based kernel tracking algorithm, which utilizes the local background information around tracking target to dynamically correct its fuzzy color histogram model and eliminates the sensitive of conventional color histogram to illumination change and noise. The algorithm is tested on several image sequences and shown that it can smooth the similarity surface and achieve robust and reliable frame-rate tracking results under varying illumination conditions.

Original languageEnglish
Title of host publicationProceedings - Fourth International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2007
Pages235-239
Number of pages5
DOIs
StatePublished - 2007
Event4th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2007 - Haikou, China
Duration: 24 Aug 200727 Aug 2007

Publication series

NameProceedings - Fourth International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2007
Volume4

Conference

Conference4th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2007
Country/TerritoryChina
CityHaikou
Period24/08/0727/08/07

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