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Profil

MEHMOOD Owais
Titre : Doctorant
Ne fait plus partie de l'unité
 
This page will go offline from September, 2015. For regular updates: please visit my personal page at www.owaismehmood.com.

PhD Thesis

  • Multi-camera visual surveillance under the supervision of Catherine Achard (ISIR, UPMC), Pierre Chainais (INRIA and LAGIS) as thesis directors & Sebastien Ambellouis (LEOST, IFSTTAR) as the supervisor.

Research Interests

  • PhD: People detection, Multi-view geometry, Camera networks.
  • General: Computer Vision, Machine Learning particularly object categorization, detection, scene geometry.

Education

[Oct 2013 - Now] Doctoral candidate in Computer Vision and Machine Learning at Ecole Centrale Lille

[Oct 2012 - Oct 2013] Doctoral candidate in Computer Vision and Machine Learning at Pierre-and-Marie-Curie University

[2010 - 2012] European Master in Color in Informatics and Media Technology from University Jean Monnet, France, Gjovik University College, Norway & University of Granada, Spain

[2006 - 2009] Bachleor of Engineering in Electronic Engineering from NED University of Engineering and Technology, Pakistan

Professional Experience

[10/2012 - now] Member of Image/Video Research group at LEOST, IFSTTAR, Lille

[10/2012 - 10/2013] Member of INTERACTION group at ISIR, UPMC, Paris

[02/2012 - 06/2012] Research Internship at Textual & Visual Pattern Analysis, and Advanced Development Laboratory, Xerox Research Centre Europe

[06/2011 - 08/2011] Research Internship at IMAGINE/CERTIS lab, Ecole des Ponts, ParisTech

[06/2008 - 07/2008] Intern at Engineering Division, Pakistan International Airlines

[12/2007 - 01/2008] Intern at Engineering Division, Pakistan International Airlines

Publications

  1. M. O. Mehmood, S. Ambellouis, C. Achard, “People detection in multi-camera environments using occupancy maps”, Pattern Recognition Letters.  [Submitted for Review]
  2. M. O. Mehmood, S. Ambellouis, C. Achard, “Exploiting 3D Geometric Primitives for Multicamera Pedestrian Detection”, AVSS 2015.
  3. M. O. Mehmood, S. Ambellouis, C. Achard, “Launch these Manhunts! Shaping the Synergy Maps for Multi-Camera Detection”, VISAPP 2015.
  4. M. O. Mehmood, S. Ambellouis, C. Achard, “Analysis of Multi-planar Probability Maps for People Localization in Overlapping Camera Systems”, ICDSC 2014, Venice, Italy. [Best runner-up paper award]
  5. M. O. Mehmood, S. Ambellouis, C. Achard, “Ghost Pruning for People Localization in Overlapping Multicamera Systems”, VISAPP 2014, Lisbon, Portugal.
  6. M. O. Mehmood, “RGB-D based Category Level Object Recognition using Kinect”, Master Thesis jointly with University Jean Monnet and XEROX Research Centre Europe, France.
  7. M. O. Mehmood, A. Khawaja, “Multi-camera based Human Tracking with Non-Overlapping Fields of View”, International Conference on Image and Graphics, ICIG 2009, China.
  8. M. O. Mehmood, “Study and Implementation of Color-based Object Tracking in Monocular Image Sequences”, Student Conference on Research and Development, SCORED 2009, Malaysia.
  9. M. O. Mehmood, M. Owais, S. Aftab, F. Shamim and S. Nomani, “National Instruments® LabVIEW™ based Pharmaceutical Medication Device with Supervisory Control and Data Acquisition System (SCADA)”, IEEE Southeast Conference, SoutheastCon 2009, USA.
  10. M. O. Mehmood, A. Khawaja, “Firmware and Hardware Design of a Novel Door Locking System”, IEEE Southeast Conference, SoutheastCon 2009, USA.
  11. A. Khawaja, M. O. Mehmood, “Approach for the Study & Development of Cost & Performance Efficient Visual Surveillance Systems”, New Horizon IEEEP Journal, Pakistan.
  12. Review for Consumer Depth Cameras for  Computer Vision By Fossati, A.; Gall, J.; Grabner,  H.; Ren, X.; Konolige, K. (Eds.) Springer, 2013. Published in IAPR Newsletter, Vol 35 Nr 3, July 2013.

Publications can be accessed here.

CV and Brief Presentation:

Contact Details:

  • Personal page: http://www.owaismehmood.com/
  • Post: IFSTTAR-LEOST, 20, Rue Elisee Reclus BP 70317 F-59666 Villeneuve d'Ascq Cedex, France
  • Phone: +33 (0) 32 04 38 503

Archives:

* Internship opening in 3D vision at IFSTTAR, Lille. Details and application procedure: here *