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Human detection in occluded scenes through optically inspired multi-camera image fusion
382 viewed

Human detection in occluded scenes through optically inspired multi-camera image fusion

Ghaneizad, M

Human detection in occluded scenes through optically inspired multi-camera image fusion

Ghaneizad, M ; Sharif University of Technology

382 Viewed
  1. Type of Document: Article
  2. DOI: 10.1364/JOSAA.34.000856
  3. Abstract:
  4. In this paper, a novel approach for foreground extraction has been proposed based on a popular three-dimensional imaging technique in optics, called integral imaging. In this approach, multiple viewpoint images captured from a three-dimensional scene are used to extract range information of the scene and effectively extract an object or a person, even in the presence of heavy occlusion. The algorithm consists of two parts: depth estimation and reconstruction of the targeted object at the estimated depth distance. Further processing of the resulting reconstructed image can lead to the detection of a face or a pedestrian in the scene, which may not otherwise be detectable due to partial occlusion in each of the views. The validity of our approach has been demonstrated by experimental results in different scenarios. © 2017 Optical Society of America
  5. Keywords:
  6. Chemical detection ; Image fusion ; Imaging techniques ; Foreground extraction ; Multi camera image fusion ; Multiple viewpoints ; Partial occlusions ; Range information ; Reconstructed image ; Three dimensional imaging ; Three-dimensional scenes ; Image processing
  7. Source: Journal of the Optical Society of America A: Optics and Image Science, and Vision ; Volume 34, Issue 6 , 2017 , Pages 856-869 ; 10847529 (ISSN)
  8. URL: https://www.osapublishing.org/josaa/abstract.cfm?uri=josaa-34-6-856