Live Video Segmentation in Dynamic Backgrounds Using Thermal Vision

  • Viet-Quoc Pham
  • Keita Takahashi
  • Takeshi Naemura
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5414)

Abstract

In this paper we describe a new technique for live video segmentation of human regions from dynamic backgrounds. Correct segmentations are produced in real-time even in severe background changes caused by camera movement and illumination changes. There are three key contributions. The first contribution is the employing of the thermal cue which proves to be very effective when fused with color. Second, we propose a new speed-up GraphCut algorithm by combining with the Bayesian estimation. The third contribution is a novel online learning method using accumulative histograms. The segmentation accuracy and speed are quite capable of the live video segmentation purpose.

Keywords

Live video segmentation infrared image sensors GraphCut 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Viet-Quoc Pham
    • 1
  • Keita Takahashi
    • 2
  • Takeshi Naemura
    • 1
  1. 1.Graduate School of Information Science and TechnologyThe University of TokyoJapan
  2. 2.IRT Research InitiativeThe University of TokyoTokyoJapan

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