Shape-based Pedestrian Detection ∗

  title={Shape-based Pedestrian Detection ∗},
  author={Alberto Broggi and Massimo Bertozzi and Alessandra Fascioli and M. Sechi},
This paper presents the method for detecting pedestrian recently implemented on the ARGO vehicle. The perception of the environment is performed through the sole processing of images acquired from a vision system installed on board of the vehicle: the analysis of a monocular image delivers a first coarse detection, while a distance refinement is performed thanks to a stereo vision technique. 
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A Time Delay Neural Network Algorithm for Real-time Pedestrian Detection

  • C. Wöhler, J. K. Aulaf, T. P̈ortner, U. Franke
  • inProcs. IEEE Intelligent Vehicles Symposium‘98…
  • 1998

Towards Model-based Recognition of Human Movements in Image Sequences

  • K. Rohr
  • CVGIP: Image Understanding, vol. 59, pp. 94–115…
  • 1994

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