(c) and (j) are the binary foreground images after using the background subtraction for the mask. Fig. 7
(d) and (k) are the #1 sub-image with 282-by-209 pixels and the#2 sub-image with 347-by-251 pixels, respectively, in which its maximal rectangle box is regard as a Mask for subsequent frame segmentation when implementing the proposed segmentation algorithm. Fig. 7(e) and (l) are the sub-images with a smaller rectangle as an initial curve inside the target chicken because the ABLSE always needs an initial curve. For convenience of comparison,the initial curve is set to the same location in testing frames of each video. Fig. 7(f) and (m) are final results by using the ABLSE segmentation algorithm. One can observe visually that the contour from #2 images is closer to the real target boundary than these for
#1 images.
The computational results for the #1 images and