Person detection under difficult environmental conditions


In order to prevent accidents involving workers and vehicles at (tunnel) construction sites, robust person detection in real time with image and infrared sensors fixed on a moving platform (construction vehicle) is needed. Therefore, existing image processing algorithms for person detection should be evaluated under harsh conditions (e.g. dust, poor lighting and rough ground), and adapted to better handle these issues.

Required skills

C++, basic image processing knowledge.