An Endeavour to Detect Persons Using Stereo Cues

  • Rim Trabelsi
  • Fethi Smach
  • Issam Jabri
  • Fatma Abdelkefi
  • Hichem Snoussi
  • Ammar Bouallegue
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8237)


The present work aims to exploit the new generation of 3D vision systems for detecting people. We present a challenge process dedicated to test the feasibility of detection over disparity maps by exploiting techniques used with monocular cues, specifically HOG/SVM. Disparity maps are extracted by a developed stereoscopic vision system using two passive sensors with an algorithm stack well adopted to real time constraint with lower processing speeds. This detection module can improve systems’perception ability in complex scenes under shadows, gradual/sudden illumination changes and animated texture. Another key point is to estimate their exact locations to predict intrusions in monitored areas. Results indicate a clear advantage of the proposed method to enhance the rate of performance up to 99.6%.


Passive stereovision Disparity maps Pedestrian detection HOG SVM 


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Copyright information

© Springer International Publishing Switzerland 2013

Authors and Affiliations

  • Rim Trabelsi
    • 1
    • 5
  • Fethi Smach
    • 2
  • Issam Jabri
    • 1
  • Fatma Abdelkefi
    • 3
  • Hichem Snoussi
    • 4
  • Ammar Bouallegue
    • 5
  1. 1.IResCoMath Unit, National Engineering School of GabesUniversity of GabesTunisia
  2. 2.ActivNetworksCourtaboeuf CedexFrance
  3. 3.COSIM Laboratory, High School of Communications of TunisUniversity of CarthageTunisia
  4. 4.LM2S Laboratory, Charles Delaunay InstituteUniversity of Technology of TroyesFrance
  5. 5.SysCom Laboratory, National Engineering School of TunisUniversity of Tunis ElManarTunisia

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