How to improve the HOG detector in the UAV context Paul Blondel, Alex Potelle, Claude Pegard, Rogelio Lozano To cite this version: Paul Blondel, Alex Potelle, Claude Pegard, Rogelio Lozano. How to improve the HOG detector in the UAV context. 2nd IFAC Workshop on Research, Education and Development of Unmanned Aerial Systems (RED UAS 2013), Nov 2013, Compiègne, France. pp.46-51. hal-01270654 HAL Id: hal-01270654 https://hal.archives-ouvertes.fr/hal-01270654 Submitted on 10 Feb 2016 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. How to improve the HOG detector in the UAV context P. Blondel ∗ Dr A. Potelle ∗ Pr C. P´egard ∗ Pr R. Lozano ∗∗ ∗ MIS Laboratory, UPJV University, Amiens, France (e-mail: paul.blondel,alex.potelle,
[email protected]) ∗∗ Heudiasyc CNRS Laboratory, Compi`egne,France (e-mail:
[email protected]) Abstract: The well known HOG (Histogram of Oriented Gradients) of Dalal and Triggs is commonly used for pedestrian detection from 2d moving embedded cameras (driving assistance) or static cameras (video surveillance). In this paper we show how to use and improve the HOG detector in the UAV context.