Spatiotemporal Stacked Sequential Learning for Pedestrian Detection


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


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