We propose a framework for the representation of visual knowledge in a robotic agent, with special attention to the understanding of dynamic scenes. According to our approach, und...
Antonio Chella, Marcello Frixione, Salvatore Gagli...
3D scene understanding is key for the success of applications such as autonomous driving and robot navigation. However, existing approaches either produce a mild level of understa...
This paper addresses scene understanding in the context of a moving camera, integrating semantic reasoning ideas from monocular vision with 3D information available through struct...
In this paper, a new Mixture model of Dynamic pedestrian-Agents (MDA) is proposed to learn the collective behavior patterns of pedestrians in crowded scenes. Collective behaviors ...
This paper describes a methodology for using the matrix-vector multiply and scan conversion hardware present in many graphics workstations to rapidly approximate the optical flow ...
Dan S. Wallach, Sharma Kunapalli, Michael F. Cohen