Background-subtraction using contour-based fusion of thermal and visible imagery

  • Authors:
  • James W. Davis;Vinay Sharma

  • Affiliations:
  • Department of Computer Science and Engineering, Ohio State University, 491 Dreese Lab, 2015 Neil Avenue, Columbus, OH 43210, USA;Department of Computer Science and Engineering, Ohio State University, 491 Dreese Lab, 2015 Neil Avenue, Columbus, OH 43210, USA

  • Venue:
  • Computer Vision and Image Understanding
  • Year:
  • 2007

Quantified Score

Hi-index 0.00

Visualization

Abstract

We present a new background-subtraction technique fusing contours from thermal and visible imagery for persistent object detection in urban settings. Statistical background-subtraction in the thermal domain is used to identify the initial regions-of-interest. Color and intensity information are used within these areas to obtain the corresponding regions-of-interest in the visible domain. Within each region, input and background gradient information are combined to form a Contour Saliency Map. The binary contour fragments, obtained from corresponding Contour Saliency Maps, are then fused into a single image. An A^* path-constrained search along watershed boundaries of the regions-of-interest is used to complete and close any broken segments in the fused contour image. Lastly, the contour image is flood-filled to produce silhouettes. Results of our approach are evaluated quantitatively and compared with other low- and high-level fusion techniques using manually segmented data.