The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XXXVIII-3/W22
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XXXVIII-3/W22, 209–213, 2011
https://doi.org/10.5194/isprsarchives-XXXVIII-3-W22-209-2011
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XXXVIII-3/W22, 209–213, 2011
https://doi.org/10.5194/isprsarchives-XXXVIII-3-W22-209-2011

  26 Apr 2013

26 Apr 2013

VEHICLE DETECTION FROM AN IMAGE SEQUENCE COLLECTED BY A HOVERING HELICOPTER

F. K. Nejadasl1 and R. C. Lindenbergh2 F. K. Nejadasl and R. C. Lindenbergh
  • 1Department of Molecular Cell Biology, Leiden University Medical Center P.O. Box 9600, 2300RC Leiden, The Netherlands
  • 2Dept. of Remote Sensing, Delft University of Technology Kluyverweg 1, 2629 HS, The Netherlands

Keywords: Foreground and background identification, vehicle detection, temporal profile, sequential method, maximum frequency

Abstract. This paper addresses the problem of vehicle detection from an image sequence in difficult cases. Difficulties are notably caused by relatively small vehicles, vehicles that appear with low contrast or vehicles that drive at low speed. The image sequence considered here is recorded by a hovering helicopter and was stabilized prior to the vehicle detection step considered here. A practical algorithm is designed and implemented for this purpose of vehicle detection. Each pixel is identified firstly as either a background (road) or a foreground (vehicle) pixel by analyzing its gray-level temporal profile in a sequential way. Secondly, a vehicle is identified as a cluster of foreground pixels. The results of this new method are demonstrated on a test image-sequence featuring very congested traffic but also smoothly flowing traffic. It is shown that for both traffic situations the method is able to successfully detect low contrast, small size and low speed vehicles.