An evaluation of monocular image stabilization algorithms for automotive applications
Luca Bombini, Pietro Cerri, Paolo Grisleri, S. Scaffardi, Paolo Zani · 2006
The performance of many computer vision applications, especially in the automotive field, can be greatly increased if camera oscillations induced by movements of the acquisition devices are corrected by a stabilization system. An effective stabilizer should cope with different oscillation frequencies and amplitude intervals, and work in a wide range of environments (such as urban, extra-urban or even unstructured ones). In this paper we analyze three different approaches, based on signature, feature, and correlation tracking respectively, that have been devised to face these problems