Research Interests


The main research during my PhD involved statistical models of pedestrian shape and appearance with an application to on-board pedestrian recognition for intelligent vehicles. Rather than deriving an explicit model of human appearance, we follow a pattern classification approach, where appropriate models are implicitly learned from a large number of training examples.

At Daimler R&D, I am responsible for algorithmic development and evaluation of the Daimler vision-based Pre-Crash pedestrian recognition system.

Keywords: Pedestrian recognition, image processing, machine learning, intelligent vehicles