Abstract Fast state-of-the-art multi-object-tracking (MOT) schemes, such as reported in challenges MOT16 and Mot20, perform tracking on a single sensor, often couple detection, support only one kind of object representation or don’t take varying latencies update rates into account. We propose fast generic MOT system for use real world applications which is capable objects from different sensor ...

At the end of life, the chemical balance of the body becomes completely upset.. Before the final stages of death, the dying person might talk about wanting to . Dec 8, 2016. Help you live comfortably at the end stage of your life. Help you and your family cope with the changes that are happening. Help you have a . Jun 8, 2016. This is written for the person with cancer, but it can be helpful to...

Timeline-based planning is a paradigm that models temporal planning domains as sets of independent, but interacting, components. The behavior of the components can be described by means of a number of state variables whose evolution and interactions over time are governed by a set of temporal constraints. This paradigm is different from the one underlying the common action-based formalisms à la...

Always-on media spaces broadcast video to provide awareness and encourage interaction between collaborators. This video can be captured on the fly and presented as a video trace – a visualization allowing viewers to rapidly explore the history of the video stream, ostensibly to gain a better understanding of the activities and availability their collaborators. We present a visualization system ...

In this paper, we give an overview of our participation in the timeline generation task of SemEval-2015 (task 4, TimeLine: CrossDocument Event Ordering). The main goals of this new track are, given a collection of news articles and a so-called target entity, to determine events that are relevant for the entity, to resolve event coreferences, and to order the events chronologically. We addressed...

In this paper, we propose an approach that automatically extract users’ activities in sentences retrieved from Twitter. We then design a timeline action network based on Web Ontology Language (OWL). By using the proposed activity extraction approach, we can automatically collect data for the action network. Finally, we propose a novel action-based collaborative filtering, which predicts missing...