Moving object detection under object occlusion situations in video sequences Conference

Liu, D, Shyu, ML, Zhu, Q et al. (2011). Moving object detection under object occlusion situations in video sequences . 271-278. 10.1109/ISM.2011.50

cited authors

  • Liu, D; Shyu, ML; Zhu, Q; Chen, SC

fiu authors

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. © 2011 IEEE.

publication date

  • December 1, 2011

Digital Object Identifier (DOI)

International Standard Book Number (ISBN) 13

  • 9780769545899

start page

  • 271

end page

  • 278