An improved mean shift algorithm for moving object tracking

Ning Li, Dan Zhang, Xiaorong Gu, Li Huang, Wei Liu, Tao Xu

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

9 Citations (Scopus)

Abstract

Moving object tracking is one of the key technologies in video surveillance. Mean shift algorithm fails to track the moving object in complicated environment. In this paper, a new strategy is proposed to improve the tracking ability of mean shift algorithm, in which the contrast between object and background along with similarity evaluation are applied for generating and updating object model. To eliminate the interference of the most similar features between tracking object and background, the coefficient ratio of the object to surrounding environment is first imported to generate the object model. To make sure the accuracy of updating object model, the effective way that combines similarity evaluation and Kalman filtering prediction is then applied for judge whether the tracking object is sheltered by other objects or background. The experimental results have shown that the proposed method can tack the moving object stably.

Original languageEnglish
Title of host publication2015 IEEE 28th Canadian Conference on Electrical and Computer Engineering, CCECE 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1425-1429
Number of pages5
EditionJune
ISBN (Electronic)9781479958276
DOIs
Publication statusPublished - 19 Jun 2015
Externally publishedYes
Event2015 28th IEEE Canadian Conference on Electrical and Computer Engineering, CCECE 2015 - Halifax, Canada
Duration: 3 May 20156 May 2015

Publication series

NameCanadian Conference on Electrical and Computer Engineering
NumberJune
Volume2015-June
ISSN (Print)0840-7789

Conference

Conference2015 28th IEEE Canadian Conference on Electrical and Computer Engineering, CCECE 2015
Country/TerritoryCanada
CityHalifax
Period3/05/156/05/15

Keywords

  • Kalman filtering prediction
  • mean shift algorithm
  • moving object tracking
  • object model generation
  • video surveillance

ASJC Scopus subject areas

  • Hardware and Architecture
  • Electrical and Electronic Engineering

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