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JOINT SEGMENTATION OF MOVING OBJECT AND ESTIMATION OF BACKGROUND IN LOW-LIGHT VIDEO USING RELAXATION
 

Summary: JOINT SEGMENTATION OF MOVING OBJECT AND ESTIMATION OF BACKGROUND IN
LOW-LIGHT VIDEO USING RELAXATION
Pedro M. Q. Aguiar
Institute for Systems and Robotics / IST
Lisboa, Portugal
E-mail: aguiar@isr.ist.utl.pt
Jos´e M. F. Moura
ECE Dep., Carnegie Mellon University
Pittsburgh PA, USA
E-mail: moura@ece.cmu.edu
ABSTRACT
When the scene background is known and the intensity of mov-
ing objects contrasts with the intensity of the background, the ob-
jects are easily captured by exploiting occlusion, e.g., background-
subtraction. However, when processing general scenes, the back-
ground is not known and researchers have mostly attempted to seg-
ment moving objects by using motion cues rather than occlusion.
Since motion can only be accurately computed at highly textured re-
gions, current motion segmentation methods either fail to segment
low textured objects, or require expensive regularization techniques.

  

Source: Aguiar, Pedro M. Q. - Institute for Systems and Robotics (Lisbon)

 

Collections: Engineering