Quinteros, DanielVelastin Carroza, Sergio AlejandroAcuña Leiva, Gonzalo2019-10-022019-10-022015-09Quinteros, D., Velastin, S.A. y Acuña, G. (2015). Characterisation of the spatial sensitivity of classifiers in pedestrian detection. 6th LatinAmerican Conference on Networked Electronic Media (LACNEM-2015).978-1-78561-280-0https://hdl.handle.net/10016/28947This paper has been presented at : 6th LatinAmerican Conference on Networked Electronic Media (LACNEM-2015)In this paper, a study of the spatial sensitivity in the pedestrian detection context is carried out by a comparison of two descriptor-classifier combinations, using the well-known sliding window approach and looking for a well-tuned response of the detector. By well-tuned, we mean that multiple detections are minimised so as to facilitate the usual non-maximal suppression stage. So, to guide the evaluation we introduce the concept of spatial sensitivity so that a pedestrian detection algorithm with good spatial sensitivity can reduce the number of classifications in the pedestrian neighbourhood, ideally to one. To characterise spacial sensitivity we propose and use a new metric to measure it. Finally we carry out a statistical analysis (ANOVA) to validate the results obtained from the metric usage.4eng© 2015 IEEE.Pedestrian detectionSpatial sensitivityNMSHOGClassifierconference paperInformáticahttps://doi.org/10.1049/ic.2015.0313open access6th LatinAmerican Conference on Networked Electronic MediaCC/0000027415