Human-Motion saliency in complex scenes

Authors:
Fiora Pirri;Matia Pizzoli;Matei Mancas
Affiliations:
ALCOR Lab., Sapienza, University of Rome, Italy;ALCOR Lab., Sapienza, University of Rome, Italy;TCTS Lab., University of Mons, Belgium
Venue:
GW'11 Proceedings of the 9th international conference on Gesture and Sign Language in Human-Computer Interaction and Embodied Communication
Year:
2011

Citing 4
Cited 0

Computation of component image velocity from local phase information

International Journal of Computer Vision
Qualitative Spatiotemporal Analysis Using an Oriented Energy Representation

ECCV '00 Proceedings of the 6th European Conference on Computer Vision-Part II
Eyes and cameras calibration for 3D world gaze detection

ICVS'08 Proceedings of the 6th international conference on Computer vision systems
A general method for the point of regard estimation in 3D space

CVPR '11 Proceedings of the 2011 IEEE Conference on Computer Vision and Pattern Recognition

Quantified Score

Hi-index	0.00

Visualization

Abstract

We present a new and original method for human motion analysis and evaluation, developed on the basis of the role played by attention in the perception of human motion. Attention is particularly relevant both in a multi-motion scene and in social interactions, when it comes to select and discern why and what to focus on. The first crucial role of attention concerns the saliency of human motion within a scene where other dynamics might occur. The second role, in social-close interactions, is highlighted by the selectivity shown towards gesture modalities both in peripheral and central vision. Experiments for both modeling and testing have been based on a dynamic 3D gaze tracker.