Understanding group activities is an essential step towards studying complex crowd behaviours in video. However, such research is often hampered by the lack of a formal definition of a group, as well as a dearth of datasets that concentrate specifically on Atomic Group Actions. We introduce the Atomic Group Actions Dataset, a set of 200 videos that concentrate on the atomic group actions of objects in video, namely the group-group actions of formation, dispersal, and movement of a group, as well as the group-person actions of person joining and person leaving a group. In addition, we make the full dataset (the videos, along with their associated tracks and ground truth) publicly available to the research community for free use and extension...
Crowd behaviour analysis plays an important role in high security interests in public areas such as...
We address the problem of group-level event recognition from videos. The events of interest are defi...
International audienceGroup activity recognition from videos is a very challenging problem that has ...
Understanding group activities is an essential step towards studying complex crowd behaviours in vid...
Understanding pair-wise activities is an essential step towards studying complex group and crowd beh...
Crowd behavior analysis research has revealed a central role in helping people to find safety hazard...
The state-of-the art solutions for human activity understanding from a video stream formulate the ta...
Abstract—This paper presents a principled framework for analyzing collective activities at different...
Automatic analysis of human behavior in social environment is a key topic for the computer vision co...
Crowd behavior analysis is an interdisciplinary topic. Understanding the col-lective crowd behaviors...
Abstract: A framework for unsupervised group activity analysis from a single video is here presented...
Raw data for cluster analysis, providing group number, x-coordinates, y-coordinates, and time point
In this dissertation, we address the problem of discovery and representation of group activity of hu...
We introduce Data-Driven Groups (DDGs), an animation technique for groups of discrete agents, such a...
In this paper, we consider the problem of finding and localizing social human groups in videos, whic...
Crowd behaviour analysis plays an important role in high security interests in public areas such as...
We address the problem of group-level event recognition from videos. The events of interest are defi...
International audienceGroup activity recognition from videos is a very challenging problem that has ...
Understanding group activities is an essential step towards studying complex crowd behaviours in vid...
Understanding pair-wise activities is an essential step towards studying complex group and crowd beh...
Crowd behavior analysis research has revealed a central role in helping people to find safety hazard...
The state-of-the art solutions for human activity understanding from a video stream formulate the ta...
Abstract—This paper presents a principled framework for analyzing collective activities at different...
Automatic analysis of human behavior in social environment is a key topic for the computer vision co...
Crowd behavior analysis is an interdisciplinary topic. Understanding the col-lective crowd behaviors...
Abstract: A framework for unsupervised group activity analysis from a single video is here presented...
Raw data for cluster analysis, providing group number, x-coordinates, y-coordinates, and time point
In this dissertation, we address the problem of discovery and representation of group activity of hu...
We introduce Data-Driven Groups (DDGs), an animation technique for groups of discrete agents, such a...
In this paper, we consider the problem of finding and localizing social human groups in videos, whic...
Crowd behaviour analysis plays an important role in high security interests in public areas such as...
We address the problem of group-level event recognition from videos. The events of interest are defi...
International audienceGroup activity recognition from videos is a very challenging problem that has ...