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Communication Dans Un Congrès Année : 2014

Human Detection in Uncluttered Environments: from Ground to UAV View

Résumé

Nowadays pedestrian detectors are fast, scale-robust and quite efficient. Embedded within a UAV such a detector would open new possibilities. In this paper the very well known HOG detector is adapted for UAV use and a new kind of training dataset is proposed in order to increase the detector's angular robustness. A more appropriate set of detection windows, together with a new detection pipeline, is proposed in order to reduce the search space and consequently reduce the computation time. Tests conducted using the improved detector show significantly better results on aerial images.
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Dates et versions

hal-01086139 , version 1 (25-11-2014)

Identifiants

  • HAL Id : hal-01086139 , version 1

Citer

Paul Blondel, Alex Potelle, Claude Pégard, Rogelio Lozano. Human Detection in Uncluttered Environments: from Ground to UAV View. International Conference on Control Automation Robotics and Vision (ICARCV 2014), Dec 2014, Singapore, Singapore. pp.76-81. ⟨hal-01086139⟩
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