Spatiotemporal detection of maritime targets using neural networks

Automatic detection and tracking of maritime targets in imagery can greatly increase situation awareness on naval vessels. Various methods for detection and tracking have been proposed so far, both for reasoning as well as for learning approaches. Learning approaches have the promise to outperform reasoning approaches. They typically detect...

Development and analysis of a real-time system for automated detection of improvised explosive device indicators from ground vehicles

We propose a real-time change detection system to be used as a vehicle-mounted early-warning system for indicators of improvised explosive devices. Within the context of military route clearance, the system automatically detects suspicious changes in the environment with respect to a previous patrol. For this purpose, historical images of the...

Influence of Atmospheric Transport on Estimates of Variability in the Global Methane Burden

We quantify the impact of atmospheric transport and limited marine boundary layer sampling on changes in global and regional methane burdens estimate using tracer transport model simulations with annually repeating methane emissions and sinks but varying atmospheric transport patterns. We find the 1σ error due to this transport and sampling...

Nonseparable dynamic nearest neighbor Gaussian process models for large spatio-temporal data with an application to particulate matter analysis

Particulate matter (PM) is a class of malicious environmental pollutants known to be detrimental to human health. Regulatory efforts aimed at curbing PM levels in different countries often require high resolution space–time maps that can identify red-flag regions exceeding statutory concentration limits. Continuous spatio-temporal Gaussian...

CEP-traj: An event-based solution to process trajectory data

In this day and age, there exists an increasing need for systems and architectures able to process spatio-temporal data in a timely way. As a result, this paper presents CEP-traj, a novel middleware to ease the development of real-time trajectory-based services based on the Complex Event Processing (CEP) paradigm. By means of an event-based...

Spatio-Temporal Layout of Human Actions for Improved Bag-of-Words Action Detection

We investigate how human action recognition can be improved by considering spatio-temporal layout of actions. From literature, we adopt a pipeline consisting of STIP features, a random forest to quantize the features into histograms, and an SVM classifier. Our goal is to detect 48 human actions, ranging from simple actions such as walk to...

Soft-assignment random-forest with an application to discriminative representation of human actions in videos

The bag-of-features model is a distinctive and robust approach to detect human actions in videos. The discriminative power of this model relies heavily on the quantization of the video features into visual words. The quantization determines how well the visual words describe the human action. Random forests have proven to efficiently transform...

Spatio-Temporal Saliency for Action Similarity

Human actions are spatio-temporal patterns. A popular representation is to describe the action by features at interest points. Because the interest point detection and feature description are generic processes, they are not tuned to discriminate one particular action from the other. In this paper we propose a saliency measure for each individual...

Using ERS spaceborne microwave soil moisture observations to predict groundwater head in space and time

The study presented in this paper is to investigate the possibility of using spaceborne remote sensing data for groundwater head prediction. Remotely-sensed soil moisture time series of SWI (Soil Water Index) derived from ERS (European Remote Sensing) scatterometers are used to predict groundwater head dynamics in the Rhine-Meuse basin, where...

Foot worn inertial sensors for gait assessment and rehabilitation based on motorized shoes

Fall prevention in elderly subjects is often based on training and rehabilitation programs that include mostly traditional balance and strength exercises. By applying such conventional interventions to improve gait performance and decrease fall risk, some important factors are neglected such as the dynamics of the gait and the motor learning...

Safespot local dynamic maps: Context-dependent view generation of a platform's state & environment

Increased availability of sensing, communication and computing equipment in modern vehicles presents opportunities for a generational advance in driver assistance and safety functions. However, the growth in the volume and complexity of data also presents challenges for its collection, maintenance and distribution. The SAFESPOT Local Dynamic Map...

Vibrotactile spatial acuity on the torso: Effects of location and timingparameters

The processing of spatio-temporal vibrotactile patterns by the torso was examined in two experiments. The first investigated the spatial acuity as function of location on the torso. A uniform acuity between 2 and 3 cm was found, except on the body midline where acuity was about 1 cm. This favorable effect was hypothesized to be caused by...