lots of changes !

1. switch to a new build system based on automake (because we need to check for some lib on ./configure before make)
2. sort files in different directory
3. add some new features (some of them need OpenCV >= 2.4.5)


svn path=/trunk/externals/pix_opencv/; revision=17324

1 files changed, 165 insertions, 0 deletions

diff --git a/examples/10-fast_blobtracker/10-fast_blob_tracker.pd b/examples/10-fast_blobtracker/10-fast_blob_tracker.pd
new file mode 100644
index 0000000..6c2041d
--- /dev/null
+++ b/examples/10-fast_blobtracker/10-fast_blob_tracker.pd
@@ -0,0 +1,165 @@
+#N canvas 616 283 966 610 10;
+#X declare -path ../..;
+#X obj 106 90 cnv 15 100 25 empty empty 1 20 12 0 14 -4034 -66577 0
+;
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+#X obj 282 44 declare -path ../..;
+#X obj 144 284 pix_opencv_contours;
+#X obj 144 404 pix_opencv_trackKnn;
+#X obj 144 506 pix_texture;
+#X obj 39 59 gemwin;
+#X msg 39 17 create \, 1;
+#X msg 46 38 destroy;
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+#X msg 459 349 \$3;
+#X msg 434 463 \$4;
+#X obj 463 328 t a a;
+#X obj 279 576 circle 0.5;
+#X obj 279 426 color 1 0 0 0.2;
+#X obj 279 336 separator;
+#X msg 499 499 \$1;
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+#X msg 227 166 \$2;
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+#X msg 366 641 12;
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+#X msg 520 421 1 0 0 0.2;
+#X msg 540 441 0 1 0 0.2;
+#X obj 279 596 translateXYZ 0.2 0.2 0;
+#X text 348 252 here is an example on how to display blobs with Gem
+;
+#X obj 279 446 scaleXYZ 10.666 -8 0;
+#X text 253 167 <- be careful ! the size of the cvblob matrix could
+change;
+#X text 335 184 please check second element to gets matrix width (number
+of value per blob);
+#X obj 124 136 t a a;
+#X obj 187 13 inlet cvblob;
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+#X msg 333 26 0;
+#X obj 333 6 loadbang;
+#X obj 187 57 t a b;
+#X msg 291 27 1, f 5;
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+#X obj 279 677 text2d;
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+#X restore 255 429 pd cvblob;
+#X obj 144 149 pix_gray;
+#X msg 160 252 area \$1;
+#X obj 144 170 pix_opencv_threshold;
+#X obj 255 305 route count;
+#X obj 261 147 nbx 5 14 -1e+37 1e+37 0 1 empty empty luminance_threshold
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+0 -8 0 10 -262144 -1 -1 100 256;
+#X obj 253 229 loadbang;
+#X text 519 110 This example shows how to make a simple tracking algorithm.
+;
+#X text 534 134 1 First take a video source (here a video source like
+a webcam);
+#X text 534 164 2 process it to extract features of interessed \, here
+I use a very simple (and not so accurate) gray convertion and thresholding
+based on luminance. This is the binarisation stage.;
+#X msg 253 252 cvblobOutput 1 \, hierarchy_level 0;
+#X text 534 224 3 find blob contours. Select only blob greater than
+an area threshold. Also we only get the outer contour (not the inner
+holes) of the shape thanks to the [hierarchy_level 0( message.;
+#X text 534 284 4 the found blobs are send to [pix_opencv_trackKnn]
+to sort there id according to the Knn algorithm.;
+#X text 532 322 To complete this process we could add a Kalmann filter
+to forseen tracking data in case of hiding or somethign else.;
+#X text 515 522 Antoine Villeret - 2013;
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