PT Unknown
AU David Geronimo
   Antonio Lopez
   Angel Sappa
TI Computer Vision Approaches for Pedestrian Detection: Visible Spectrum Survey
BT 3rd Iberian Conference on Pattern Recognition and Image Analysis,  LNCS 4477
PY 2007
BP 547–554
VL 1
DE Pedestrian detection
AB Pedestrian detection from images of the visible spectrum is a high relevant area of research given its potential impact in the design of pedestrian protection systems. There are many proposals in the literature but they lack a comparative viewpoint. According to this, in this paper we first propose a common framework where we fit the different approaches, and second we use this framework to provide a comparative point of view of the details of such different approaches, pointing out also the main challenges to be solved in the future. In summary, we expectthis survey to be useful for both novel and experienced researchers in the field. In the first case, as a clarifying snapshot of the state of the art; in the second, as a way to unveil trends and to take conclusions from the comparative study.
ER