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In size preserving video tracking, the camera's focal length (zoom) is adjusted automatically to compensate for
 

Summary: Abstract
In size preserving video tracking, the camera's focal
length (zoom) is adjusted automatically to compensate for
the changes in the target's image size caused by the
relative motion between the camera and the target. The
accurate estimation of these changes is paramount to the
system performance. The existing method of choice for
real-time target scale estimation applies structure from
motion (SFM) based on the weak perspective projection
model [1]. We design a target scale estimation algorithm
with linear solution based on the more advanced
paraperspective projection model. Another key problem
in SFM based algorithms is the separation between
foreground and background features (image corners),
especially when composite camera and target motions are
involved. This paper also addresses a fast
foreground/background separation algorithm, the affine
shape method. The resulting segmentation automatically
adapts to the target's 3D geometry and motion.
Experimental results illustrate the effectiveness of the

  

Source: Abidi, Mongi A. - Department of Electrical and Computer Engineering, University of Tennessee

 

Collections: Computer Technologies and Information Sciences