Moving object detection under object occlusion situations in video sequences

Dianting Liu, Mei Ling Shyu, Qiusha Zhu, Shu Ching Chen

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

9 Scopus citations

Abstract

It is a great challenge to detect an object that is overlapped or occluded by other objects in images. For moving objects in a video sequence, their movements can bring extra spatio-temporal information of successive frames, which helps object detection, especially for occluded objects. This paper proposes a moving object detection approach for occluded objects in a video sequence with the assist of the SPCPE (Simultaneous Partition and Class Parameter Estimation) unsupervised video segmentation method. Based on the preliminary foreground estimation result from SPCPE and object detection information from the previous frame, an n-steps search (NSS) method is utilized to identify the location of the moving objects, followed by a size-adjustment method that adjusts the bounding boxes of the objects. Several experimental results show that our proposed approach achieves good detection performance under object occlusion situations in serial frames of a video sequence.

Original languageEnglish (US)
Title of host publicationProceedings - 2011 IEEE InternationalSymposium on Multimedia, ISM 2011
Pages271-278
Number of pages8
DOIs
StatePublished - Dec 1 2011
Event13th IEEE International Symposium on Multimedia, ISM 2011 - Dana Point, CA, United States
Duration: Dec 5 2011Dec 7 2011

Publication series

NameProceedings - 2011 IEEE InternationalSymposium on Multimedia, ISM 2011

Other

Other13th IEEE International Symposium on Multimedia, ISM 2011
CountryUnited States
CityDana Point, CA
Period12/5/1112/7/11

Keywords

  • Moving object detection
  • n-steps search
  • SPCPE
  • Video segmentation

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Human-Computer Interaction

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  • Cite this

    Liu, D., Shyu, M. L., Zhu, Q., & Chen, S. C. (2011). Moving object detection under object occlusion situations in video sequences. In Proceedings - 2011 IEEE InternationalSymposium on Multimedia, ISM 2011 (pp. 271-278). [6123357] (Proceedings - 2011 IEEE InternationalSymposium on Multimedia, ISM 2011). https://doi.org/10.1109/ISM.2011.50