RT Conference Proceedings
T1 Characterisation of the spatial sensitivity of classifiers in pedestrian detection
A1 Quinteros, Daniel
A1 Velastin Carroza, Sergio Alejandro
A1 Acuña Leiva, Gonzalo
AB 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.
PB IEEE
SN 978-1-78561-280-0
YR 2015
FD 2015-09
LK https://hdl.handle.net/10016/28947
UL https://hdl.handle.net/10016/28947
LA eng
NO This paper has been presented at : 6th LatinAmerican Conference on Networked Electronic Media (LACNEM-2015)
NO The work described here was carried out as part of the OB-SERVE project funded by the Fondecyt Regular programme of Conicyt (Chilean Research Council for Science and Technology) under grant no. 1140209. Sergio A Velastin has re-ceived funding from the Universidad Carlos III de Madrid, the European Unions Seventh Framework Programme for research, technological development and demonstration under grant agreement no 600371, el Ministerio de Economa y Competitividad (COFUND2013-51509) el Ministerio de Educacin, cultura y Deporte (CEI-15-17) and Banco Santander.
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RD 1 jun. 2024