Existing agricultural detection algorithms mainly detect a single object category (class)
under specific conditions which restricts the farmer's ability to utilize them in different …

Absolute quantification of PET brain imaging requires the measurement of an arterial input
function (AIF), typically obtained invasively via an arterial cannulation. We present an …

In this paper, we present a post-processing scheme to improve the performance of vehicle
detection in wide-area aerial imagery. Using low-resolution aerial frames for the …

Video segmentation is a task of partitioning pixels that exhibit homogeneous appearance
and motion into coherent spatial-temporal groups, which is still challenging for aerial …

For the transmission of aerial surveillance videos taken from unmanned aerial vehicles
(UAVs), region of interest (ROI)-based coding systems are of growing interest in order to …

Vehicle detection in aerial videos often requires post-processing to eliminate false
detections. This paper presents a spatio-temporal processing scheme to improve automatic …

Image stacking is a well-known method that is used to improve the quality of images in video
data. A set of consecutive images is aligned by applying image registration and warping. In …

Configuring an anomaly-based Network Intrusion Detection System for cybersecurity of an
industrial system in the absence of information on networking infrastructure and …

Post-processings are usually necessary to reduce false detections on vehicles in wide-area
aerial imagery. In order to improve the performance of vehicle detection, we propose a two …

In this paper we study the use of computer vision techniques for visual tracking of futsal
players. In the sports field, player tracking is an important task, as it can provide an estimate …