3,250 research outputs found
Object tracking and detection after occlusion via numerical hybrid local and global mode-seeking
Given an object model and a black-box measure of similarity between the model and candidate targets, we consider visual object tracking as a numerical optimization problem. During normal tracking conditions when the object is visible from frame to frame, local optimization is used to track the local mode of the similarity measure in a parameter space of translation, rotation and scale. However, when the object becomes partially or totally occluded, such local tracking is prone to failure, especially when common prediction techniques like the Kalman filter do not provide a good estimate of object parameters in future frames. To recover from these inevitable tracking failures, we consider object detection as a global optimization problem and solve it via Adaptive Simulated Annealing (ASA), a method that avoids becoming trapped at local modes and is much faster than exhaustive search. As a Monte Carlo approach, ASA stochastically samples the parameter space, in contrast to local deterministic search. We apply cluster analysis on the sampled parameter space to redetect the object and renew the local tracker. Our numerical hybrid local and global mode-seeking tracker is validated on challenging airborne videos with heavy occlusion and large camera motions. Our approach outperforms state-of-the-art trackers on the VIVID benchmark datasets. 1
Bioreactor scalability: laboratory-scale bioreactor design influences performance, ecology, and community physiology in expanded granular sludge bed bioreactors
Studies investigating the feasibility of new, or improved, biotechnologies, such as wastewater treatment digesters, inevitably start with laboratory-scale trials. However, it is rarely determined whether laboratory-scale results reflect full-scale performance or microbial ecology. The Expanded Granular Sludge Bed (EGSB) bioreactor, which is a high-rate anaerobic digester configuration, was used as a model to address that knowledge gap in this study. Two laboratory-scale idealizations of the EGSB—a one-dimensional and a three- dimensional scale-down of a full-scale design—were built and operated in triplicate under near-identical conditions to a full-scale EGSB. The laboratory-scale bioreactors were seeded using biomass obtained from the full-scale bioreactor, and, spent water from the distillation of whisky from maize was applied as substrate at both scales. Over 70 days, bioreactor performance, microbial ecology, and microbial community physiology were monitored at various depths in the sludge-beds using 16S rRNA gene sequencing (V4 region), specific methanogenic activity (SMA) assays, and a range of physical and chemical monitoring methods. SMA assays indicated dominance of the hydrogenotrophic pathway at full-scale whilst a more balanced activity profile developed during the laboratory-scale trials. At each scale, Methanobacterium was the dominant methanogenic genus present. Bioreactor performance overall was better at laboratory-scale than full-scale. We observed that bioreactor design at laboratory-scale significantly influenced spatial distribution of microbial community physiology and taxonomy in the bioreactor sludge-bed, with 1-D bioreactor types promoting stratification of each. In the 1-D laboratory bioreactors, increased abundance of Firmicutes was associated with both granule position in the sludge bed and increased activity against acetate and ethanol as substrates. We further observed that stratification in the sludge-bed in 1-D laboratory-scale bioreactors was associated with increased richness in the underlying microbial community at species (OTU) level and improved overall performance
Image-based Stability Quantification
Quantitative evaluation of human stability using foot pressure/force
measurement hardware and motion capture (mocap) technology is expensive, time
consuming, and restricted to the laboratory. We propose a novel image-based
method to estimate three key components for stability computation: Center of
Mass (CoM), Base of Support (BoS), and Center of Pressure (CoP). Furthermore,
we quantitatively validate our image-based methods for computing two classic
stability measures, CoMtoCoP and CoMtoBoS distances, against values generated
directly from laboratory-based sensor output (ground truth) using a publicly
available, multi-modality (mocap, foot pressure, two-view videos), ten-subject
human motion dataset. Using Leave One Subject Out (LOSO) cross-validation,
experimental results show: 1) our image-based CoM estimation method (CoMNet)
consistently outperforms state-of-the-art inertial sensor-based CoM estimation
techniques; 2) stability computed by our image-based method combined with
insole foot pressure sensor data produces consistent, strong, and statistically
significant correlation with ground truth stability measures (CoMtoCoP r = 0.79
p < 0.001, CoMtoBoS r = 0.75 p < 0.001); 3) our fully image-based estimation of
stability produces consistent, positive, and statistically significant
correlation on the two stability metrics (CoMtoCoP r = 0.31 p < 0.001, CoMtoBoS
r = 0.22 p < 0.043). Our study provides promising quantitative evidence for the
feasibility of image-based stability evaluation in natural environments
The VISTA Science Archive
We describe the VISTA Science Archive (VSA) and its first public release of
data from five of the six VISTA Public Surveys. The VSA exists to support the
VISTA Surveys through their lifecycle: the VISTA Public Survey consortia can
use it during their quality control assessment of survey data products before
submission to the ESO Science Archive Facility (ESO SAF); it supports their
exploitation of survey data prior to its publication through the ESO SAF; and,
subsequently, it provides the wider community with survey science exploitation
tools that complement the data product repository functionality of the ESO SAF.
This paper has been written in conjunction with the first public release of
public survey data through the VSA and is designed to help its users understand
the data products available and how the functionality of the VSA supports their
varied science goals. We describe the design of the database and outline the
database-driven curation processes that take data from nightly
pipeline-processed and calibrated FITS files to create science-ready survey
datasets. Much of this design, and the codebase implementing it, derives from
our earlier WFCAM Science Archive (WSA), so this paper concentrates on the
VISTA-specific aspects and on improvements made to the system in the light of
experience gained in operating the WSA.Comment: 22 pages, 16 figures. Minor edits to fonts and typos after
sub-editting. Published in A&
The XMM Cluster Survey: The Dynamical State of XMMXCS J2215.9-1738 at z=1.457
We present new spectroscopic observations of the most distant X-ray selected
galaxy cluster currently known, XMMXCS J2215.9-1738 at z=1.457, obtained with
the DEIMOS instrument at the W. M. Keck Observatory, and the FORS2 instrument
on the ESO Very Large Telescope. Within the cluster virial radius, as estimated
from the cluster X-ray properties, we increase the number of known
spectroscopic cluster members to 17 objects, and calculate the line of sight
velocity dispersion of the cluster to be 580+/-140 km/s. We find mild evidence
that the velocity distribution of galaxies within the virial radius deviates
from a single Gaussian. We show that the properties of J2215.9-1738 are
inconsistent with self-similar evolution of local X-ray scaling relations,
finding that the cluster is underluminous given its X-ray temperature, and that
the intracluster medium contains ~2-3 times the kinetic energy per unit mass of
the cluster galaxies. These results can perhaps be explained if the cluster is
observed in the aftermath of an off-axis merger. Alternatively, heating of the
intracluster medium through supernovae and/or Active Galactic Nuclei activity,
as is required to explain the observed slope of the local X-ray
luminosity-temperature relation, may be responsible.Comment: 13 pages, 6 figures, accepted for publication in Ap
Guide to chicken health and management in Ethiopia: For farmers and development agents
Biotechnology and Biological Sciences Research Council, United KingdomDepartment for International Development, United Kingdo
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