This paper presents a method for human action recognition based on patterns of motion. Previous approaches to action recognition use either local features describing small patches...
For many computer vision problems, it is very important to produce the groundtruth data. Manual data labeling is labor-intensive and prone to the human errors, whereas fully autom...
This paper presents two novel likelihood terms for silhouettes and contours in model-based contexts. Despite the power of such formulations, building likelihoods that truly refle...
Simon’s The Sciences of the Artificial is rightly influential as a founding text in design research in the information systems field (IS). Simon’s contributions in the same vo...
— This paper presents a method for vision based estimation of the pose of human hands in interaction with objects. Despite the fact that most robotics applications of human hand ...