Pixel-Wise Human Motion Segmentation Using Learning Vector Quantization

Mochamad Hariadi, Akio Harada, Takafumi Aoki, Tatsuo Higuchi

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

Abstract

This paper proposed an efficient human motion segmentation algorithm with pixel-wise accuracy. Our aim is to solve the problem of separating human image as object of interest from the background image. In our approach, every pixel of a video sequence frame is considered to be a 5-dimensional vector, consisting of pixel position coordinate components (x,y coordinates) plus pixel color information in HSV (Hue, Saturation, and Value). First, the human assistant is employed to create the reference frame of desired human object of interest. This step is done only at the first frame of video sequence. The Kohonen Learning Vector Quantization (LVQ)[1] is then used to give optimal class region decision between the human object class and background class by training its codebook vectors, supervised by reference frame. The segmentation result is generated by doing vector quantization of LVQ codebook vectors to all pixels of image frame. Finally, for adapting the human object class movement in succeeding frames, LVQ codebook vectors are updated periodically by feeding back the result of the last segmentation into the training step. This paper also presents proposed segmentation algorithm performance to some MPEG-4 video test.

Original languageEnglish
Title of host publicationProceedings of the 7th International Conference on Control, Automation, Robotics and Vision, ICARCV 2002
Pages1439-1444
Number of pages6
Publication statusPublished - 2002 Dec 1
EventProceedings of the 7th International Conference on Control, Automation, Robotics and Vision, ICARC 2002 - Singapore, Singapore
Duration: 2002 Dec 22002 Dec 5

Other

OtherProceedings of the 7th International Conference on Control, Automation, Robotics and Vision, ICARC 2002
CountrySingapore
CitySingapore
Period02/12/202/12/5

ASJC Scopus subject areas

  • Engineering(all)

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