Abstract. A correspondence and camera error analysis for dense correspondence applications such as structure from motion is introduced. This provides error introspection, opening u...
Daniel Knoblauch, Mauricio Hess-Flores, Mark A. Du...
Traditional background modeling and subtraction methods have a strong assumption that the scenes are of static structures with limited perturbation. These methods will perform poo...
Abstract— We propose a novel online framework for detecting moving shadows in video sequences using statistical learning techniques. In this framework, Support Vector Machines ar...
— Legged robots require accurate models of their environment in order to plan and execute paths. We present a probabilistic technique based on Gaussian processes that allows terr...
Christian Plagemann, Sebastian Mischke, Sam Prenti...
Abstract— A complexity model for context-based adaptive variable length coding (CAVLC) and universal variable length coding (UVLC) in the H.264/AVC decoder is proposed. CAVLC and...