RGB-D foreground extraction from a moving camera using nonlinear pixel classification

Author Affiliation

Imran Junejo is Faculty of Computer Science at Institute of Business Administration (IBA), Karachi

Faculty / School

Faculty of Computer Sciences (FCS)


Department of Computer Science

Was this content written or created while at IBA?


Document Type


Source Publication

Journal of Electronic Imaging




Astrophysics and Astronomy | Computer Sciences | Electrical and Computer Engineering | Electrical and Electronics | Engineering


We propose a foreground extraction method from a freely moving RGB-D video camera that uses a nonlinear optimization function to classify pixels in every frame as either foreground or background. The method starts with extracting sparse features in every frame. These features are then matched to create a nonlinear optimization function that is used to label each pixel in the depth image as either foreground or background. Finally, the inverse mapping from depth to RGB data is used to extract the foreground from the RGB image. Our results show that even in the presence of high camera motion, it is possible to reliably extract the foreground from the RGB-D video data captured from a freely moving camera.

Indexing Information

HJRS - X Category, Scopus, Web of Science - Science Citation Index Expanded (SCI)

Publication Status