Spatiotemporal Stacked Sequential Learning for Pedestrian Detection

Abstract

Pedestrian classifiers decide which image windows contain a pedestrian. In practice, such classifiers provide a relatively high response at neighbor windows overlapping a pedestrian, while the responses around potential false positives are expected to be lower. An analogous reasoning applies for image sequences. If there is a pedestrian located within a… (More)
DOI: 10.1007/978-3-319-19390-8_1

Topics

5 Figures and Tables

Slides referencing similar topics