The analysis of human action captured in video sequences has been a topic of considerable interest in computer vision. Much of the previous work has focused on the problem of acti...
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...
This paper presents a technique to characterize human actions in visual surveillance scenarios in order to describe, in a qualitative way, basic human movements in general imaging ...
Filiberto Pla, Pedro Canotilho Ribeiro, José...
In this paper, we propose a shot classification method for action movies. Considering that motion characteristic is very important for semantic movie analysis, and it contains abu...
We present a multi-camera system for audio-visual analysis of dance figures. The multi-view video of a dancing actor is acquired using 8 synchronized cameras. The motion capture t...