Current State Future Work Demonstration Conclusion References - - PowerPoint PPT Presentation

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Current State Future Work Demonstration Conclusion References - - PowerPoint PPT Presentation

Nov 25, 2023 49 likes •270 views

Group Members What was Map-MET? Where to use? Overall System Current State Future Work Demonstration Conclusion References Fatma Aknc smail Can Meryem Sacan lker Argn Cokuner Group Members

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 Group Members  What was Map-MET?  Where to use?  Overall System  Current State  Future Work  Demonstration  Conclusion  References

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İlker Argın İsmail Can Coşkuner Meryem Sağcan Fatma Akıncı

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 Group Members  What was Map-MET?  Where to use?  Overall System  Current State  Future Work  Demonstration  Conclusion  References

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 Main Problem: Same user interface

under different conditions

 Our solution: Gather environmental data

and use them as input for UI design.

 A map application with interactive UI

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 Group Members  What was Map-MET?  Where to use?  Overall System  Current State  Future Work  Demonstration  Conclusion  References

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 Military

Source: http://www.kaliteliresimler.com/img927.htm

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 Transportation

Source: http://www.funpub.net/poze/mare/GPS+Taxi-Land_1200053789.jpg

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 Anybody

Source: http://www.globalgiants.com/archives/fotos9/GPSUser-01.jpg

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 Group Members  What was Map-MET?  Where to use?  Overall System  Current State  Future Work  Demonstration  Conclusion  References

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 Group Members  What was Map-MET?  Where to use?  Overall System  Current State  Future Work  Demonstration  Conclusion  References

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 Extraction of movement and luminosity

information from video stream.

 Network connection established.

› Messaging system implemented. › Extracted data is trasported to mobile

device.

 All user interface components are

designed and implemented.

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 Movement Extraction

› Shi and Tomassi Feature Tracking

 Finds most trackable features  Easy to use

› Optical Flow

 Starting point for user movement  Light Extraction

› Luma component of YUV colorspace

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 Group Members  What was Map-MET?  Where to use?  Overall System  Current State  Future Work  Demonstration  Conclusion  References

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 Further UI design  Video stream transfer from mobile

device camera

 Improving image processing algorithms

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 Group Members  What was Map-MET?  Where to use?  Overall System  Current State  Future Work  Demonstration  Conclusion  References

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 Group Members  What was Map-MET?  Where to use?  Overall System  Current State  Future Work  Demonstration  Conclusion  References

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 Group Members  What was Map-MET?  Where to use?  Overall System  Current State  Future Work  Demonstration  Conclusion  References

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Jianbo Shi; Tomasi, C.; , "Good features to track," Computer Vision and Pattern Recognition, 1994. Proceedings CVPR '94., 1994 IEEE Computer Society Conference on , vol., no., pp.593-600, 21-23 Jun 1994 doi: 10.1109/CVPR.1994.323794 URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=323794&isn umber=7716

Smith, S. M. (n.d.). Finding optic flow. Retrieved from http://users.fmrib.ox.ac.uk/~steve/review/review/node1.html#SECTION00010 000000000000000

  • S. S. Beauchemin , J. L. Barron (1995). The computation of optical flow. ACM

New York, USA.

David J. Fleet and Yair Weiss (2006). "Optical Flow Estimation". In Paragios et al.. Handbook of Mathematical Models in Computer Vision. Springer

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Thank You For Listening!