LIDAR sensors enable object and free-space detection for intelligent transportation systems
and vehicles. This paper proposes a recognition method for LIDARs based on only a few …

Associating attributes to pedestrians in a crowd is relevant for various areas like
surveillance, customer profiling and service providing. The attributes of interest greatly …

This paper proposes methods for people re-identification across non-overlap** cameras.
We improve the robustness of re-identification by using additional group features acquired …

Mobile social robots aimed at interacting with and assisting humans in pedestrian areas
need to understand the dynamics of pedestrian social interaction. In this work, we …

In analysing the movement and interaction of pedestrians it is very important to take into
account the social groups they form. In this paper we describe the work we have done on the …

複数人の移動軌跡から, 人のグループを検出する手法を提案する. このグループ検出は, 任意の 2
人が同一のグループに属しているかどうかを判定することによって行われる. この 2 …

This study focuses on joint motion patterns of humans that move together with other humans
or objects. Since this scope embraces 'group motion', which relates only humans, and …

This paper proposes a method for detecting people groups from their trajectory data. This
grou** is applied to each pair of people. The trajectories of the pair are featured by their …

LIDAR sensors are part of the sensor system of several intelligent vehicles and
transportation systems providing both object and free-space detection capabilities. In this …

In this work, the groups of people are detected in each camera and then utilized as an
additional clue for improving the robustness of people identification across non-overlap** …