A New Bayesian Modeling for 3D Human-Object Action Recognition

This approach uses information from (i) acquisition technology (i.e., Microsoft’s Kinect) to adapt the choice of algorithms and their configuration to noised data, (ii)

• Speed of the gesture (more or less fast movements) and • Gaze direction of the giver toward the receiver Our task is not a handover but consists in setting down the object, and

In this paper, we proposed a new view-invariant action recognition system using only RGB information. This is achieved by estimating the 3D skeleton information of the subject

Furthermore, we present the CitiVoice Framework, a management tool for decision-makers to manage citizen participation that we apply in the context of three Belgian Smart

Pour cela, nous proposons d’abs- traire et de documenter les processus d’analyse pour représenter la méthodologie nécessaire à l’obtention des connaissances, de

Together and in coherence with this framework, we in- tend to develop and experiment various task planners and interaction schemes that will allow the robot to se- lect and perform