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
Jos´e M. F. Moura
ECE Dep., Carnegie Mellon University
Pittsburgh PA, USA
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.