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S.-H. Lee, J. Moon and M. Lee, “A Region of Interest Based Image Segmentation Method Using a Biologically Motivated Selective Attention Model,” 2006 international Joint Conference on Neural Networks, Canada, July 16-21, 2006, pp. 1413-1420.

has been cited by the following article:

• TITLE: Research on Motion Attention Fusion Model-Based Video Target Detection and Extraction of Global Motion Scene

  AUTHORS: Long Liu, Boyang Fan, Jing Zhao

  KEYWORDS: Target Detection; Attention Model; Global Scene

  JOURNAL NAME: Journal of Signal and Information Processing, Vol.4 No.3B, October 16, 2013

  ABSTRACT: For target detection algorithm under global motion scene, this paper suggests a target detection algorithm based on motion attention fusion model. Firstly, the motion vector field is pre-processed by accumulation and median filter; Then, according to the temporal and spatial character of motion vector, the attention fusion model is defined, which is used to detect moving target; Lastly, the edge of video moving target is made exactly by morphologic operation and edge tracking algorithm. The experimental results of different global motion video sequences show the proposed algorithm has a better veracity and speedup than other algorithm.