Abstract— This paper presents a method for detecting independent temporally-persistent motion patterns in image sequences. The result is a description of the dynamic content of a...
Abstract. In numerous content-based video applications, it is important to extract from a video sequence a representation for humans in motion. This task is di cult, because humans...
Obstacle avoidance is one of the most important challenges for mobile robots as well as future vision based driver assistance systems. This task requires a precise extraction of de...
This paper describes a new motion based feature extraction technique for speaker identification using orientation estimation in 2D manifolds. The motion is estimated by computing ...
Abstract-- We present an interactive framework for exploring space-time relationships in databases of experimentally collected highresolution biomechanical data. These data describ...
Daniel F. Keefe, Marcus Ewert, William Ribarsky,...