lab presentation “ the pursuit of footsteps ”
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Lab Presentation “ The Pursuit of Footsteps ”. Ovgu Ozturk PhD Candidate Department of Frontier Informatics November 5, 2009. すべてはこれで始まった 。。。. 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?. 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!. 腕を組んでみよう!. もっとゆっくり歩いて~!. - PowerPoint PPT PresentationTRANSCRIPT
Lab Presentation“ The Pursuit of Footsteps ”
Ovgu Ozturk
PhD CandidateDepartment of Frontier Informatics
November 5, 2009
すべてはこれで始まった。。。
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?
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!
羽田へ向かう
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]
さ~、どうなるでしょう?
出ている、出ている!
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
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
Haneda Video Data
0525 335 334 321
• 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.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
Outline
Haneda Video Data Conferences for Future Footsteps ICCV-THEMIS 2009 Presentation My research progress
Moved to Odaiba
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 )
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• 2 profs, 5 researchers• System Explanation• Why do you use SIFT?• Applicable for multiple human tracking?
A Boosted Particle Filter:Multitarget Detection and Tracking
Kenji Okuma, Ali Taleghani, Nando De Freitas, James J. Little, and David G. LoweECCV 2004
Combine Boosting and Particle Filtering->Training, classification: Adaboost->Tracking: Particle Filter
An MCMC-based Particle Filterfor Tracking Multiple Interacting Targets
Zia Khan, Tucker Balch, and Frank Dellaert, ICCV 2004
distance
Simultaneous Clustering and Tracking Unknown Number of Objects
Katsuhiko Ishiguro, Takeshi Yamada and Naonori Ueda, CVPR 2008
~ Thank You ~