1. Lab Presentation “ The Pursuit of Footsteps ” Ovgu Ozturk PhD Candidate Department of Frontier Informatics November 5, 2009

2. すべてはこれで始まった。。。

3. ここは羽田です。 さ、旅客が多い羽田で、人々の未来の足跡は？ 13m の高さから、 プロジェクタで 移せるのかな？

4. 追跡しよう～ calibration しなくちゃ～ 足跡、 fade-in したほうが自然に見える よ！ もっとゆっくり歩いて～！ 腕を組んでみよう！

5. 羽田へ向かう busiest Haneda handled 66,735,587 passengers in 2008. [2] By passenger throughput, it was the busiest airport in Asia and the fourth busiest in the world, after Atlanta's Hartsfield-Jackson Airport, Chicago's O'Hare Airport and London Heathrow. [2] [2]fourth busiest in the worldAtlanta'sHartsfield-Jackson Airport Chicago'sO'Hare AirportLondon Heathrow [2]

6. さ～、どうなるでしょう？ 出ている、出ている！

7. バンザイ ＼ (^o^) ／ バンザイ お疲れ様でした～ 本当にありがとうございました

8. 一時間程度 御客さんの反応 932 人 ３１人（旅客） ＋ ２０人（鈴木さん案 内） １４人 ２人ｘ２ couple ３人 男 ７人 家族 ４人 ２人ｘ２ 女性 ３人 大学生

9. Haneda Video Data 0525 335 334 321

10. CHI (ACM Conference on Human Factors in Computing Systems) UIST (User Interface Software and Technology) ICEC (International Conference on Entertainment Computing) INTERACT 2009, 12th IFIP TC13 Conference on Human-Computer Interaction ACE 2009 (5th Advances in Computer Entertainment Technology Conference) DIMEA 2009 (4th Digital Interactive Media Entertainment and Arts Conference) SIGGRAPH Asia 2010  環境芸術 http://www.iead.org/what/index.htmlhttp://www.iead.org/what/index.html  Special Issue of ACM Computers in Entertainment and International Journal on Arts and Technology (IJART)  International Journal of Entertainment Technology and Management (IJEntTM) Entertainment, Interaction, Art, Design, Computing, Human

11. Outline  Haneda Video Data  Conferences for Future Footsteps  ICCV-THEMIS 2009 Presentation  My research progress  Moved to Odaiba

12. ICCV-THEMIS 2009 Presentation ICCV Workshop Fujistu, NEC, Hitachi, Toshiba - Face Recognition(Age, Gender, Emotion) - Human Tracking (Multiple-tracking, tracking under occlusion) Google ( Face Recognition, Person Identification )  -------------------------------------------------------------  2 profs, 5 researchers System Explanation Why do you use SIFT? Applicable for multiple human tracking?

13. A Boosted Particle Filter: Multitarget Detection and Tracking Kenji Okuma, Ali Taleghani, Nando De Freitas, James J. Little, and David G. Lowe ECCV 2004

14. Combine Boosting and Particle Filtering ->Training, classification: Adaboost ->Tracking: Particle Filter

15. An MCMC-based Particle Filter for Tracking Multiple Interacting Targets Zia Khan, Tucker Balch, and Frank Dellaert, ICCV 2004

16. distance

17. Simultaneous Clustering and Tracking Unknown Number of Objects Katsuhiko Ishiguro, Takeshi Yamada and Naonori Ueda, CVPR 2008

21. ~ Thank You ~