Work in progress towards modeling shape statistics of multiobject complexes is presented. Constraints defined by the set of objects such as a compact representation of object shap...
Guido Gerig, Sarang C. Joshi, P. Thomas Fletcher, ...
Markov random fields (MRFs) are popular and generic probabilistic models of prior knowledge in low-level vision. Yet their generative properties are rarely examined, while applica...
We present a background model that differentiates between background motion and foreground objects. Unlike most models that represent the variability of pixel intensity at a partic...
Abstract— Temporal classification, such as activity recognition, is a key component for creating intelligent robot systems. In the case of robots, classification algorithms mus...
Douglas L. Vail, John D. Lafferty, Manuela M. Velo...
Designing a distributed fault tolerance algorithm requires careful analysis of both fault models and diagnosis strategies. A system will fail if there are too many active faults, ...