Boundary vector field

The boundary vector field

segmentation

and object extraction. The active contours move progressively towards its target based on the external forces. There are a number of shortcomings in using the traditional external forces, including the capture range problem, the concave object extraction problem, and high computational requirements.

The BVF is generated by an interpolation scheme^[1] which reduces the computational requirement significantly, and at the same time, improves the capture range and concave object extraction capability.

The BVF is also tested in moving object tracking and is proven to provide fast detection method for real time video applications.^[3]

References

^ ^a ^b K.W. Sum, 2007
^ Rafael Verdú-Monedero, 2008
^ N. Lin, 2008

K.W. Sum and Paul Y.S. Cheung, "Boundary Vector Field for Parametric Active Contours," Pattern Recognition, vol. 40, no. 6, pp. 1635–1645, Jun 2007
Rafael Verdú-Monedero, Juan Morales-Sánchez, and Luis Weruaga, "Convergence Analysis of Active Contours," Image and Vision Computing, vol. 26, issue 8, pp. 1118–1128, 2008
N. Lin and B. Hu, "Moving Object Detection and Tracking in Video Sequences Based on Boundary Vector Field," Journal of Computer Applications, vol. 28, Jun 2008
Pattern Recognition (Journal of the Pattern Recognition Society)
Image and Vision Computing, Elsevier Journal
Journal of Computer Applications Archived 2008-12-18 at the Wayback Machine

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[K.W._Sum,_2007-1] K.W. Sum, 2007

[2] Rafael Verdú-Monedero, 2008

[3] N. Lin, 2008

[1]

[3]