ITrackU: An Integrated Framework for Image-based Tracking and Understanding

Within the ITrackU project, a modular software architecture for model-based visual tracking and image understanding is being developed. The library is general-purpose with respect to object models, state-space parameters, visual modalities employed, number of cameras and targets, and tracking methodology. This provides the necessary building blocks for a seamless integration of a wide variety of both known and novel tracking systems, involving different visual modalities (like as color, motion, edge maps etc.) in a multi-level fashion, ranging from pixel-level segmentation, up to local features matching and maximum-likelihood object pose estimation. Application of the proposed architecture is demonstrated through the definition and practical implementation of relevant tasks for the CoTeSys cluster, all specified in terms of a self-contained description language.