Action recognition is an important and challenging topic in computer vision, with many important applications including video surveillance, automated cinematography and understand...
We propose a novel successive convex matching method for human action detection in cluttered video. Human actions are represented as sequences of poses, and specific actions are de...
If robots learn new actions through human-robot interaction, it is important that the robots can utilize rewards as well as instructions to reduce humans' efforts. Additionall...
We address the problem of learning view-invariant 3D models of human motion from motion capture data, in order to recognize human actions from a monocular video sequence with arbi...
Abstract. Robots that share their workspace with humans, like household or service robots, need to take into account the presence of humans when planning their actions. In this pap...
Marcello Cirillo, Lars Karlsson, Alessandro Saffio...