1/ 13 Klepnutím lze upravit styl předlohy Klepnutím lze upravit styl předlohy www.splab.cz Soft biometric traits in de identification process Hair Jiri Prinosil Jiri Mekyska Zdenek Smekal
2/ 13 Klepnutím Hair lze and upravit hair color styl předlohy Supplementary trait for identification Hair color can be used for dividing people into sub groups Assigning hair color index to a person in a video sequence These indices can be used as filtering clue when searching in databases
3/ 13 Klepnutím Hair segmentation lze upravit styl method předlohy State of the art methods static images only simple background high processing time proposed method video sequences complex background real time processing
4/ 13 Klepnutím Hair segmentation lze upravit styl method předlohy Face detection stage position of face detector is obtained positions of eyes and nose are obtained Viola Jones detector face tracker based on motion estimation using rectangular grid
5/ 13 Klepnutím Hair segmentation lze upravit styl method předlohy Background subtraction silhouette obtained Head segmentation head is obtained by using face position and silhouette
6/ 13 Klepnutím Hair segmentation lze upravit styl method předlohy Skin segmentation the hair area is given as the difference between head and skin segment flood filling approach is used flooding starts from different seed points positions of seed points are set according to positions of eyes and nose
7/ 13 Klepnutím Hair segmentation lze upravit styl method předlohy Skin segmentation to suppress propagating of flood to hair area, only a compact part around a particular seed point is taken from the flood area finally, a skin area is determined as a convex hull of union of selected parts around different seed points Hair segmentation hair is given a the difference between hair and skin
8/ 13 Klepnutím Hair segmentation lze upravit styl method předlohy Results Tested on 28 video sequences of avg. length of 4 seconds Compared with ground truth masks Measure Average Median Precision 0.84% 0.92% Recall 0.49% 0.48% Processing times per frame Phase Average time [ms] Face detection 121 Background subtraction 55 Head and skin segmentation 38
9/ 13 Klepnutím Color lze upravit estimation styl předlohy Experimental setup Tested on 28 people in available video sequences A color of each subject was subjectively classified into one of five categories (black, brown, blond, red, gray/white) as a reference Color estimation model HSV space is equally spaced to 10 ranges for every dimension 1000 HSV sub spaces are obtained Assumption, that colors in each sub space are similar Mean value of each sub space is subjectively classified
10 / 13 Klepnutím Color lze upravit estimation styl předlohy Color estimation Color of each hair pixel is evaluated using the described model Histogram of colors in one frame is calculated Histograms of multiple frames are summed and the biggest bin determines the hair color of a person in videosequence
11 / 13 Klepnutím Color lze upravit estimation styl předlohy Results Tested on 28 video sequences Aut. extracted hair masks Man. extracted hair masks Estimation Estimation Blk. Brw. Bld. Red Wht. Perc. Blk. Brw. Bld. Red Wht. Perc. Subj. evaluation Blk. 13 1 0 0 0 92.9% Brw. 2 5 0 0 1 62.5% Bld. 0 0 2 0 1 66.6% Red 0 0 0 1 0 100% Wht. 0 0 0 0 2 100% Subj. evaluation Blk. 13 1 0 0 0 92.9% Brw. 1 6 0 0 1 75.0% Bld. 0 0 2 0 1 66% Red 0 0 0 1 0 100% Wht. 0 0 0 0 2 100% Results are different only in one case
12 / 13 Klepnutím lze Experiment upravit styl předlohy
13 / 13 Klepnutím lze Experiment upravit styl předlohy
14 / 13 Klepnutím lze Experiment upravit styl předlohy
15 / 13 Klepnutím lze Experiment upravit styl předlohy
16 / 13 Klepnutím lze upravit styl předlohy Klepnutím lze upravit styl předlohy www.splab.cz