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Faculty of computer and information science  Ain Shams University Section 1
Supervisors: Professor Dr. Mohammed Roushdy Faculty of computer and information sciences Dr. Haythem El-Messiry Faculty of computer and information sciences T.A. Ahmad Salah Faculty of computer and information sciences Sponsors:
Teamwork: Abu-Bakr Taha Abdel Khalek Hadeel Mahmoud Mohammed  Hager Abdel Motaal Mohammed Mahmoud Fayez El-Khateeb Yasmeen Abdel Naby Aly
Agenda: ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object],Introduction: Problem Definition: Human interacts normally with another human by using motions, It might be annoying and impractical to use hardware equipments to interact with  someone/something.
Introduction: Motivation: 1. Interactive Wall 2009. 2. multi touch technology 3. large size of touch screen with appropriate cost.  4.  flexibility.
future without annoying input devices, and to be proud of being a part of accomplishing such a dream. develop the Interactive Screen System to be able to handle more features and gestures and to get over its limitation which will make the user get satisfied with its usability and flexibility of use.
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],Traditional  Environment
Proposed Physical Environment:
Physical Environment: other alternative solutions  VS  proposed solution
Interactive screen Vs other Systems ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],Market Research
Framework Calibration Segmentation Hand Detection Multi hand Tracking Touch Detection Gesture Recognition Event Interface
apply a geometric calibration using the four calibration points acquired by the configuration module. Calibration Segmentation Hand Detection Multi hand Tracking Touch Detection Gesture Recognition Event Interface
Experimental Results Simple back ground Complex back ground It’s main task is to generate a binary image from the captured image represents the foreground Calibration Segmentation Hand Detection Multi hand Tracking Touch Detection Gesture Recognition Event Interface
Experimental Results responsible for detecting the hand position automatically at any position, with certain gesture (Open Hand) Calibration Segmentation Hand Detection Multi hand Tracking Touch Detection Gesture Recognition Event Interface
Experimental Results responsible for keep track with  the user hand, know the actual position of the hand all the time Calibration Segmentation Hand Detection Multi hand Tracking Touch Detection Gesture Recognition Event Interface
Experimental Results the main task is to decide whether the user did touch the screen or not Calibration Segmentation Hand Detection Multi hand Tracking Touch Detection Gesture Recognition Event Interface
Experimental Results ,[object Object],[object Object],[object Object],Calibration Segmentation Hand Detection Multi hand Tracking Touch Detection Gesture Recognition Event Interface
[object Object],[object Object],[object Object],Application
Limitations ,[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],Future work
Demo
[1].  Mennat-Allah Mostafa Mohammad,Nada Sherif Abd El Galeel,Rana Mohammad Ali Roshdy,Sarah Ismail Ibrahim, Multi Touch Interactive Surface, Faculty of Computer and Information Sciences, Ain shams University, Cairo, Egypt, 2009.  [2].  Kai Briechle, Uwe D. Hanebeck, Template Matching using Fast Normalized Cross Correlation, Institute of Automatic Control Engineering,Technische Universität München, 80290 München, Germany.,2001.  [3].  Rafeal C. Gonzalez, Richard E. Woods, DIGITAL IMAGE PROCESSING, Third edition, Pearson, 2008.  [4].  Gray Bradski, Adrian kaebler, Learning Open CV,   O'Reilly Media, 2008.  [5].  Alan M. McIvor, Background Subtraction Techniques  In Proc. of Image and Vision Computing, Auckland, New Zealand, 2000.     [6].  Francesca Gasparini, Raimondo Schettini , Skin Segmentation using multiple thresholding, Milano Italy, 2007.  References
[7].  Hideki Koike, Masataka Toyoura, Kenji Oka and Yoichi Sato, 3-D Interaction with Wall-Sized Display, IEEE computer society,2008. [8].  Mahdi Mirzabaki  , A New Method for Depth Detection Using Interpolation Functions using single camera, INTERNATIONAL ARCHIVES OF PHOTOGRAMMETRY REMOTE SENSING AND SPATIAL INFORMATION SCIENCES,  2004, VOL 35; PART 3, pages 724-726. [9].  Patrick Horain and Mayank Bomb, 3D Model Based Gesture Acquisition Using a Single Camera,proceedings of sixth IEEE on applications  of computer vision ,2002. [10]  Z. Cˇernekova´, N. Nikolaidis and I. Pitas,  SINGLE CAMERA POINTING GESTURE RECOGNITION USING SPATIAL FEATURES AND SUPPORT VECTOR MACHINES,EUSIPCO,Pozan,2007. References
 

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Multi touch interactive screen, MIE Competition

  • 1. Faculty of computer and information science Ain Shams University Section 1
  • 2. Supervisors: Professor Dr. Mohammed Roushdy Faculty of computer and information sciences Dr. Haythem El-Messiry Faculty of computer and information sciences T.A. Ahmad Salah Faculty of computer and information sciences Sponsors:
  • 3. Teamwork: Abu-Bakr Taha Abdel Khalek Hadeel Mahmoud Mohammed Hager Abdel Motaal Mohammed Mahmoud Fayez El-Khateeb Yasmeen Abdel Naby Aly
  • 4.
  • 5.
  • 6. Introduction: Motivation: 1. Interactive Wall 2009. 2. multi touch technology 3. large size of touch screen with appropriate cost. 4. flexibility.
  • 7. future without annoying input devices, and to be proud of being a part of accomplishing such a dream. develop the Interactive Screen System to be able to handle more features and gestures and to get over its limitation which will make the user get satisfied with its usability and flexibility of use.
  • 8.
  • 9.
  • 11. Physical Environment: other alternative solutions VS proposed solution
  • 12.
  • 13.
  • 14. Framework Calibration Segmentation Hand Detection Multi hand Tracking Touch Detection Gesture Recognition Event Interface
  • 15. apply a geometric calibration using the four calibration points acquired by the configuration module. Calibration Segmentation Hand Detection Multi hand Tracking Touch Detection Gesture Recognition Event Interface
  • 16. Experimental Results Simple back ground Complex back ground It’s main task is to generate a binary image from the captured image represents the foreground Calibration Segmentation Hand Detection Multi hand Tracking Touch Detection Gesture Recognition Event Interface
  • 17. Experimental Results responsible for detecting the hand position automatically at any position, with certain gesture (Open Hand) Calibration Segmentation Hand Detection Multi hand Tracking Touch Detection Gesture Recognition Event Interface
  • 18. Experimental Results responsible for keep track with the user hand, know the actual position of the hand all the time Calibration Segmentation Hand Detection Multi hand Tracking Touch Detection Gesture Recognition Event Interface
  • 19. Experimental Results the main task is to decide whether the user did touch the screen or not Calibration Segmentation Hand Detection Multi hand Tracking Touch Detection Gesture Recognition Event Interface
  • 20.
  • 21.
  • 22.
  • 23.
  • 24. Demo
  • 25. [1]. Mennat-Allah Mostafa Mohammad,Nada Sherif Abd El Galeel,Rana Mohammad Ali Roshdy,Sarah Ismail Ibrahim, Multi Touch Interactive Surface, Faculty of Computer and Information Sciences, Ain shams University, Cairo, Egypt, 2009. [2]. Kai Briechle, Uwe D. Hanebeck, Template Matching using Fast Normalized Cross Correlation, Institute of Automatic Control Engineering,Technische Universität München, 80290 München, Germany.,2001. [3]. Rafeal C. Gonzalez, Richard E. Woods, DIGITAL IMAGE PROCESSING, Third edition, Pearson, 2008. [4]. Gray Bradski, Adrian kaebler, Learning Open CV, O'Reilly Media, 2008. [5]. Alan M. McIvor, Background Subtraction Techniques In Proc. of Image and Vision Computing, Auckland, New Zealand, 2000.   [6]. Francesca Gasparini, Raimondo Schettini , Skin Segmentation using multiple thresholding, Milano Italy, 2007. References
  • 26. [7]. Hideki Koike, Masataka Toyoura, Kenji Oka and Yoichi Sato, 3-D Interaction with Wall-Sized Display, IEEE computer society,2008. [8]. Mahdi Mirzabaki , A New Method for Depth Detection Using Interpolation Functions using single camera, INTERNATIONAL ARCHIVES OF PHOTOGRAMMETRY REMOTE SENSING AND SPATIAL INFORMATION SCIENCES, 2004, VOL 35; PART 3, pages 724-726. [9]. Patrick Horain and Mayank Bomb, 3D Model Based Gesture Acquisition Using a Single Camera,proceedings of sixth IEEE on applications of computer vision ,2002. [10] Z. Cˇernekova´, N. Nikolaidis and I. Pitas, SINGLE CAMERA POINTING GESTURE RECOGNITION USING SPATIAL FEATURES AND SUPPORT VECTOR MACHINES,EUSIPCO,Pozan,2007. References
  • 27.  

Hinweis der Redaktion

  1. Check the name of the project..
  2. Seprate two slid
  3. According to many surveys, people are impressed about HCI technologies, we become very enthusiastic due to these facts that enable us to participate in developing such area of technology with less cost.
  4. Light is off. Shadow.
  5. Cost.. 1000 $ **If they will do not see the environment.. Must add the real physical environment picture
  6. Smart white board Smart Wall Touch screen Cost Gesture Recognition . No need to touh screen. Bare hands . Dynamic gesture recognition..
  7. Interactive Screen could be used in Meeting rooms Class rooms For presentation We found that
  8. All the Modules Overview and Sample Output Here …isA But The Demos! … it is Ok Final Scene  The FrameWork iis on the right hand side, the current module is highlighted, the overview and demo is on the left hand side of the slide
  9. Change it in the whole presentation .