We present a framework for the automatic recognition of complex multi-agent events in settings where structure is imposed by rules that agents must follow while performing activit...
This paper proposes an approach for recognizing human activities (more specifically, pedestrian trajectories) in video sequences, in a surveillance context. A system for automatic ...
Advances in computer vision and pattern recognition research are leading to video surveillance systems with improved scene analysis capabilities. However, up to now few works have ...
Alessio Dore, Matteo Pinasco, Lorenzo Ciardelli, C...
— We present a hardware-accelerated implementation of a bottom-up visual attention algorithm. This algorithm generates a multi-scale saliency map from differences in image intens...
—We propose a data-driven, multi-view body pose estimation algorithm for video. It can operate in uncontrolled environments with loosely calibrated and low resolution cameras and...