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A Novel Way of Tracking People in an Indoor Area

  • Aditya Narang
  • Sagar Prakash Joglekar
  • Karthikeyan Balaji Dhanapal
  • Arun Agrahara Somasundara
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7135)

Abstract

Tracking people in an indoor area is a technically challenging problem, and has many interesting applications. One of the scenarios being, tracking customers in a big shopping mall. This real time location information can be used for a variety of needs. In this paper we present a novel way of achieving this by matching people based on the image of the lower part of their body (pant/leg and shoes). Our approach is novel in 2 ways: there are no per-customer costs i.e. nothing needs to be changed at the customer side. Also, as we use the image of lower part of the body, there should be potentially no privacy related issues, unlike face recognition.

Keywords

Query Image Correct Match Foreground Pixel Database Size Match Accuracy 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Aditya Narang
    • 1
  • Sagar Prakash Joglekar
    • 1
  • Karthikeyan Balaji Dhanapal
    • 1
  • Arun Agrahara Somasundara
    • 1
  1. 1.Convergence Lab, Infosys LabsInfosys Ltd.BangaloreIndia

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