12.07.2015 Views

Object Tracking and Face Recognition in Video Streams

Object Tracking and Face Recognition in Video Streams

Object Tracking and Face Recognition in Video Streams

SHOW MORE
SHOW LESS
  • No tags were found...

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

35n % of reported % of knownTotal detections 3547 - -Correct detections 3541 99.83 93.98False detections 6 0.17 -Missed faces 227 - 6.02Total IDs 493 - -Correct IDs 493 100.00 13.08Incorrect IDs 0 0.00 -(a) Reference (strict)n % of reported % of knownTotal detections 7068 - -Correct detections 3638 (+97) 51.47 (-48.36) 96.55 (+2.57)False detections 3430 (+3424) 48.53 (+48.36) -Missed faces 130 (-97) - 3.45 (-2.57)Total IDs 365 - -Correct IDs 365 (-128) 100.00 9.69 (-3.39)Incorrect IDs 0 0.00 -(b) <strong>Face</strong>clip (strict)n % of reported % of knownTotal detections 3794 - -Correct detections 3761 (+220) 99.13 (-0.7) 99.81 (+5.83)False detections 33 (+27) 0.87 (+0.7) -Missed faces 7 (-220) - 0.19 (-5.83)Total IDs 3204 - -Correct IDs 3204 (+2711) 100.00 85.03 (+71.95)Incorrect IDs 0 0.00 -(c) <strong>Object</strong> track<strong>in</strong>g (strict)Table A.2: Results for the Simple experiment, us<strong>in</strong>g strict Wawo mode.

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!