The compressive sensing trackers, which utilize a very sparse measurement matrix to capture the targets' appearance model, perform well when the tracked targets are well defined. However, such trackers often run into drifting problems due to the fact ...

This paper focuses on the use of spherical cameras for autonomous quadrone navigation tasks. Previous works of literature for navigation mainly lie in two categories: scene-oriented simultaneous localization and mapping and robot-oriented heading fields ...

Smart device and body sensors have become innovative and converged with health informatics. To reduce the battery power consumption and bandwidth usage in wireless body area networks, it is proposed to infer sensed data in sensor nodes, which can raise ...

Wearable devices have become popular and innovative and are converging with technologies such as big data, Cloud and Internet of Things (IoT). Traditional physiological sensors in fitness tracking and mHealth provide health data periodically or are ...

Many crowd evacuation models have been developed in isolation with respect to the aspects of interest. In this paper, we propose an agent-based model of crowd evacuation, pertaining to symmetric utilization of resources in terms of exit usage and ...

We present "Snapscreen", a prototype second-screen app. Snapscreen is a platform that allows content providers (TV channels, broadcasters) to offer transparently content-related information and services to users watching TV. Users need only install the ...

Recently, neural network-based methods have shown impressive performances in captioning task. There have been numerous attempts with many proposed architectures to solve this captioning problem. In this paper, we present the evaluation of different ...

Affective computing is an up-surging research area relying on multimodal multimedia information processing techniques to study human interaction. Social signal processing under affective computing aims at recognizing and extracting useful human social ...