Topic models such as Latent Dirichlet Allocation (LDA) are used extensively for modelling multi-object behaviour and anomaly detection in busy scenes. However, existing topic models suffer from the sensitivity problem, where they are unable to detect ...

In a crowded public space, body and head pose can provide useful information for understanding human behaviours and intentions. In this paper, we propose a novel framework for locating people and inferring their body and head poses. Human detection and ...

In this paper, we focus on the problem of searching for complex activities involving multiple, interacting objects in video. We examine the dynamics of formation and dispersal of groups as well as their interactions with other groups and individuals. In ...

In this paper, we investigate age estimation on real-life faces acquired in unconstrained conditions. This is a challenging but relatively understudied problem, with interesting applications in many areas (e.g., visual surveillance). We use the large ...

Identifying people is an important task in a Smartroom environment. Active cameras are well suited for the task as they provide high resolution images at almost any location in the room. Since active cameras only observe a small part of the field of ...

Storytelling and narrative creation are recent interests in the areas of interactive media designs. Instead of using virtual reality-based 3-D models, we propose a system which uses video technologies to generate video story from existing avatars and ...

In this paper we present a combined probability estimation approach to detect and track multiple people for pose estimation at the same time. It can deal with partial and total occlusion between persons by adding torso appearance to the tracker. ...

It is our great pleasure to welcome you to the 1sd ACM International Workshop on Multimodal Pervasive Video Analysis (MPVA 2010).

Thanks to the confluence of urban monitoring applications and portable cameras carried by humans everywhere, video ...