Because of their cross-functional nature in the company, enhancing Production Planning
and Control (PPC) functions can lead to a global improvement of manufacturing systems …

Recent advances in visionary technologies impacted multi-object recognition and scene
understanding. Such scene-understanding tasks are a demanding part of several …

Earth-moving machines are heavy-duty vehicles designed for construction operations
involving earthworks. The tasks performed by such machines typically involve navigation …

Multi-frame image super-resolution (SR) aims to combine the sub-pixel information from a
sequence of low-resolution (LR) images to build a high-resolution (HR) one. SR techniques …

Tracking multiple moving targets in a video is a challenge because of several factors,
including noisy video data, varying number of targets, and mutual occlusion problems. The …

An efficient traffic management system is crucial for public transportation. If the passenger
flow can be detected accurately and instantaneously, the routes and schedules for public …

A semi-supervised deep learning paradigm is proposed for object classification/tracking.
The method addresses the main difficulties of deep learning, by allowing unsupervised data …

There are two key issues in human activity recognition: spatial dependencies and temporal
dependencies. Most recent methods focus on only one of them, and thus do not have …

Satellite videos provide rich dynamic information of observed scenes at a large spatial and
temporal scale and will play an important role in the future space information network. This …

We consider the fully automated behavior understanding through visual cues in industrial
environments. In contrast to most existing work, which relies on domain knowledge to …