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Pedestrian Tracking with an Infrared Sensor using Road Network Information

  • Pedestrian Tracking with an Infrared Sensor using Road Network Information
    Per Skoglar, Umut Orguner, David Törnqvist and Fredrik Gustafsson
    EURASIP Journal on Advances in Signal Processing 2012, 2012:26

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  • Abstract:

    This article presents a pedestrian tracking methodology using an infrared sensor for surveillance applications. A distinctive feature of this study compared to the existing pedestrian tracking approaches is that the road network information is utilized for performance enhancement. A multiple model particle filter, which uses two different motion models, is designed for enabling the tracking of both road-constrained (on-road) and unconstrained (off-road) targets. The lateral position of the pedestrians on the walkways are taken into account by a specific on-road target model. The overall framework seamlessly integrates the negative information of occlusion events into the algorithm for which the required modifications are discussed. The resulting algorithm is illustrated on real data from a field trial for different scenarios.

  • Bibtex item:

      author = {Skoglar, Per and Orguner, Umut and 
                     Tornqvist, David and Gustafsson, Fredrik},
      title = {Pedestrian tracking with an infrared sensor 
                 using road network information},
      journal = {EURASIP Journal on Advances in Signal Processing},
      year = {2012},
      volume = {2012},
      pages = {26},
      number = {1},
      doi = {10.1186/1687-6180-2012-26},
      issn = {1687-6180},
      url = {http://asp.eurasipjournals.com/content/2012/1/26}

Per Skoglar

PhD in Automatic Control

(Swedish: Doktor i reglerteknik)

Dept. of Electrical Engineering
Linköping University
SE-581 83 Linköping

Informationsansvarig: Per Skoglar
Senast uppdaterad: 2012-10-17