Real-time recognition of moving direction of a target object based on historical trajectories

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

Abstract

This paper presents an effective algorithm to identify moving direction of an object in images based on historical trajectories of the moving object. By continuously acquiring images, temporal differencing is performed to detect the moving object followed by median filtering to reduce noises in the images. After that, opening operation is adopted to remove small objects lacking momentum in the binary image and strengthen the surrounding thickness of those with sufficient momentum. Historical trajectories can therefore be constructed by decreasing the momentum of the binary images as time elapsed based on established rules to decide the moving direction of objects.

Original languageEnglish
Title of host publicationProceedings 2011 International Conference on System Science and Engineering, ICSSE 2011
Pages70-75
Number of pages6
DOIs
Publication statusPublished - 2011 Aug 24
Event2011 International Conference on System Science and Engineering, ICSSE 2011 - Macao, China
Duration: 2011 Jun 82011 Jun 10

Publication series

NameProceedings 2011 International Conference on System Science and Engineering, ICSSE 2011

Other

Other2011 International Conference on System Science and Engineering, ICSSE 2011
CountryChina
CityMacao
Period11/6/811/6/10

Keywords

  • computer vision
  • historical trajectories
  • motion detection
  • object trajectory
  • optical flow

ASJC Scopus subject areas

  • Control and Systems Engineering

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  • Cite this

    Hsu, C-C. J., Liu, W. C., & Hong, C-M. (2011). Real-time recognition of moving direction of a target object based on historical trajectories. In Proceedings 2011 International Conference on System Science and Engineering, ICSSE 2011 (pp. 70-75). [5961876] (Proceedings 2011 International Conference on System Science and Engineering, ICSSE 2011). https://doi.org/10.1109/ICSSE.2011.5961876