A systematic cost-effective approach for underwater photogrammetry

This paper presents a systematic cost-effective approach for underwater 3D photogrammetric reconstruction. Underwater 3D reconstruction is a complicated task due to limiting and varying environmental conditions such as: low light conditions, sea snow, water currents and temperature. Quay wall inspection suffers from other possible complications...

Radar and Video Multimodal Learning for Human Activity Classification

Camera systems are widely used for surveillance in the security and defense domains. The main advantages of camera systems are their high resolution, their ease of use, and the fact that optical imagery is easy to interpret for human operators. However, particularly when considering application in the defense domain, cameras have some...

Fast and accurate person re-identification with xception conv-net and C2F

Person re-identification (re-id) is the task of identifying a person of interest across disjoint camera views in a multi-camera system. This is a challenging problem due to the different poses, viewpoints and lighting conditions. Deeply learned systems have become prevalent in the person re-identification field as they are capable to deal with...