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https://www.readbyqxmd.com/read/29144395/real-time-indoor-scene-description-for-the-visually-impaired-using-autoencoder-fusion-strategies-with-visible-cameras
#1
Salim Malek, Farid Melgani, Mohamed Lamine Mekhalfi, Yakoub Bazi
This paper describes three coarse image description strategies, which are meant to promote a rough perception of surrounding objects for visually impaired individuals, with application to indoor spaces. The described algorithms operate on images (grabbed by the user, by means of a chest-mounted camera), and provide in output a list of objects that likely exist in his context across the indoor scene. In this regard, first, different colour, texture, and shape-based feature extractors are generated, followed by a feature learning step by means of AutoEncoder (AE) models...
November 16, 2017: Sensors
https://www.readbyqxmd.com/read/29140311/scene-aware-adaptive-updating-for-visual-tracking-via-correlation-filters
#2
Fan Li, Sirou Zhang, Xiaoya Qiao
In recent years, visual object tracking has been widely used in military guidance, human-computer interaction, road traffic, scene monitoring and many other fields. The tracking algorithms based on correlation filters have shown good performance in terms of accuracy and tracking speed. However, their performance is not satisfactory in scenes with scale variation, deformation, and occlusion. In this paper, we propose a scene-aware adaptive updating mechanism for visual tracking via a kernel correlation filter (KCF)...
November 15, 2017: Sensors
https://www.readbyqxmd.com/read/29098040/differences-in-liquid-cloud-droplet-effective-radius-and-number-concentration-estimates-between-modis-collections-5-1-and-6-over-global-oceans
#3
John Rausch, Kerry Meyer, Ralf Bennartz, Steven Platnick
Differences in cloud droplet effective radius and cloud droplet number concentration (CDNC) estimates inferred from the Aqua MODIS Collections 5.1 and 6 cloud products (MYD06) are examined for warm clouds over global oceans for the year 2008. Individual pixel level retrievals for both collections are aggregated to 1° × 1° and compared globally and regionally for the three main spectral channel pairs used for MODIS cloud optical property retrievals. Comparisons between both collections are performed for cases in which all three effective radii retrievals are classified by the MODIS Cloud Product as valid...
2017: Atmospheric Measurement Techniques
https://www.readbyqxmd.com/read/29091906/a-large-scale-dataset-of-single-and-mixed-source-short-tandem-repeat-profiles-to-inform-human-identification-strategies-provedit
#4
Lauren E Alfonse, Amanda D Garrett, Desmond S Lun, Ken R Duffy, Catherine M Grgicak
DNA-based human identity testing is conducted by comparison of PCR-amplified polymorphic Short Tandem Repeat (STR) motifs from a known source with the STR profiles obtained from uncertain sources. Samples such as those found at crime scenes often result in signal that is a composite of incomplete STR profiles from an unknown number of unknown contributors, making interpretation an arduous task. To facilitate advancement in STR interpretation challenges we provide over 25,000 multiplex STR profiles produced from one to five known individuals at target levels ranging from one to 160 copies of DNA...
October 24, 2017: Forensic Science International. Genetics
https://www.readbyqxmd.com/read/29076684/left-hand-thumb-imprint-patterns-among-medical-students
#5
Omair Khan, Muhammad Zeeshan Haroon, Muhammad Adnan Rashid, Muhammad Naseem Khan, Delawar Khan
BACKGROUND: Finger printing is an absolute method of identification. Recovery of finger prints from a crime scene is an important method of Forensic identification. Human finger prints are detailed, unique, difficult to alter, easily classifiable and durable over life making them stable and long-term tool of human identification. METHODS: This cross-sectional study was conducted on 95,3rd year MBBS students of Ayub Medical College Abbottabad from December 2014 to August 2015 to establish the frequency of left hand thumb imprints by rolling and plain method...
July 2017: Journal of Ayub Medical College, Abbottabad: JAMC
https://www.readbyqxmd.com/read/29052534/specialist-advice-may-improve-patient-selection-for-decompression-therapy-following-diving-accidents-a-retrospective-observational-study
#6
Daniel Steffensmeier, Roland Albrecht, Jürg Wendling, Roger Melliger, Donat R Spahn, Philipp Stein, Christophe Wyss
BACKGROUND: Even in a landlocked country like Switzerland recreational diving is becoming more and more popular. Smaller lakes in the Alps are located at an altitude of 2500 m above sea level. The incidence of diving accidents among all helicopter emergency service missions and the consecutive medical knowledge about decompression injuries is low. Thus, a collaboration between the Swiss Air-Ambulance (Rega) and the divers alert network (DAN) was initiated to improve patient treatment and identification of decompression injury and necessity of hyperbaric oxygen therapy (HBO)...
October 19, 2017: Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine
https://www.readbyqxmd.com/read/29048025/one-step-real-virtual-combined-reflection-hologram-a-4f-relay-approach
#7
Jian Su, Yingqing Huang, Yibei Chen, Xiaoyu Jiang, Xingpeng Yan
The production of conventional optical reflection holograms can be classified into the one-step method or the two-step method. In the one-step method, only the diverging light of an object can be recorded, and the reconstructed scene is a virtual one behind the recording medium. In the two-step method, the diverging light or the converging light can be recorded alternatively. However, the process is complicated considering double exposures. The object is first imaged by a 4f system, and then the interference patterns are recorded by single exposure...
August 20, 2017: Applied Optics
https://www.readbyqxmd.com/read/29046954/an-eye-tracking-study-of-bloodstain-pattern-analysts-during-pattern-classification
#8
R M Arthur, J Hoogenboom, R D Green, M C Taylor, K G de Bruin
Bloodstain pattern analysis (BPA) is the forensic discipline concerned with the classification and interpretation of bloodstains and bloodstain patterns at the crime scene. At present, it is unclear exactly which stain or pattern properties and their associated values are most relevant to analysts when classifying a bloodstain pattern. Eye tracking technology has been widely used to investigate human perception and cognition. Its application to forensics, however, is limited. This is the first study to use eye tracking as a tool for gaining access to the mindset of the bloodstain pattern expert...
October 18, 2017: International Journal of Legal Medicine
https://www.readbyqxmd.com/read/29036082/binary-classification-of-mueller-matrix-images-from-an-optimization-of-poincar%C3%A3-coordinates
#9
Meredith K Kupinski, Jaden Bankhead, Adriana Stohn, Russell Chipman
A new binary classification method for Mueller matrix images is presented which optimizes the polarization state analyzer (PSA) and the polarization state generator (PSG) using a statistical divergence between pixel values in two regions of an image. This optimization generalizes to multiple PSA/PSG pairs so that the classification performance as a function of number of polarimetric measurements can be considered. Optimizing PSA/PSG pairs gives insight into which polarimetric measurements are most useful for the binary classification...
June 1, 2017: Journal of the Optical Society of America. A, Optics, Image Science, and Vision
https://www.readbyqxmd.com/read/28991906/object-detection-through-search-with-a-foveated-visual-system
#10
Emre Akbas, Miguel P Eckstein
Humans and many other species sense visual information with varying spatial resolution across the visual field (foveated vision) and deploy eye movements to actively sample regions of interests in scenes. The advantage of such varying resolution architecture is a reduced computational, hence metabolic cost. But what are the performance costs of such processing strategy relative to a scheme that processes the visual field at high spatial resolution? Here we first focus on visual search and combine object detectors from computer vision with a recent model of peripheral pooling regions found at the V1 layer of the human visual system...
October 2017: PLoS Computational Biology
https://www.readbyqxmd.com/read/28961163/object-classification-in-semi-structured-enviroment-using-forward-looking-sonar
#11
Matheus Dos Santos, Pedro Otávio Ribeiro, Pedro Núñez, Paulo Drews-Jr, Silvia Botelho
The submarine exploration using robots has been increasing in recent years. The automation of tasks such as monitoring, inspection, and underwater maintenance requires the understanding of the robot's environment. The object recognition in the scene is becoming a critical issue for these systems. On this work, an underwater object classification pipeline applied in acoustic images acquired by Forward-Looking Sonar (FLS) are studied. The object segmentation combines thresholding, connected pixels searching and peak of intensity analyzing techniques...
September 29, 2017: Sensors
https://www.readbyqxmd.com/read/28953159/epidemiology-of-open-globe-injury-in-children
#12
Muhammed Batur, Erbil Seven, Mahmut Nedim Akaltun, Serek Tekin, Tekin Yasar
PURPOSE: The purpose of this study was to evaluate the epidemiology and outcomes of pediatric open globe injury (OGI). METHOD: The medical records of all patients diagnosed with OGI in the authors' clinic between 1996 and 2015 were screened retrospectively. A total of 893 eyes of 892 patients aged 16 years or younger were included in the study. Open globe injury was classified according to the ocular trauma classification (OTS). Age, sex, history, cause and month of trauma, treatment received, visual acuity at presentation, final visual acuity, and cause of vision loss were recorded...
November 2017: Journal of Craniofacial Surgery
https://www.readbyqxmd.com/read/28932681/assessing-neural-tuning-for-object-perception-in-schizophrenia-and-bipolar-disorder-with-multivariate-pattern-analysis-of-fmri-data
#13
Eric A Reavis, Junghee Lee, Jonathan K Wynn, Stephen A Engel, Mark S Cohen, Keith H Nuechterlein, David C Glahn, Lori L Altshuler, Michael F Green
INTRODUCTION: Deficits in visual perception are well-established in schizophrenia and are linked to abnormal activity in the lateral occipital complex (LOC). Related deficits may exist in bipolar disorder. LOC contains neurons tuned to object features. It is unknown whether neural tuning in LOC or other visual areas is abnormal in patients, contributing to abnormal perception during visual tasks. This study used multivariate pattern analysis (MVPA) to investigate perceptual tuning for objects in schizophrenia and bipolar disorder...
2017: NeuroImage: Clinical
https://www.readbyqxmd.com/read/28820891/scene-text-detection-via-extremal-region-based-double-threshold-convolutional-network-classification
#14
Wei Zhu, Jing Lou, Longtao Chen, Qingyuan Xia, Mingwu Ren
In this paper, we present a robust text detection approach in natural images which is based on region proposal mechanism. A powerful low-level detector named saliency enhanced-MSER extended from the widely-used MSER is proposed by incorporating saliency detection methods, which ensures a high recall rate. Given a natural image, character candidates are extracted from three channels in a perception-based illumination invariant color space by saliency-enhanced MSER algorithm. A discriminative convolutional neural network (CNN) is jointly trained with multi-level information including pixel-level and character-level information as character candidate classifier...
2017: PloS One
https://www.readbyqxmd.com/read/28814625/variations-in-cause-of-death-determination-for-sudden-unexpected-infant-deaths
#15
Carrie K Shapiro-Mendoza, Sharyn E Parks, Jennifer Brustrom, Tom Andrew, Lena Camperlengo, John Fudenberg, Betsy Payn, Dale Rhoda
OBJECTIVES: To quantify and describe variation in cause-of-death certification of sudden unexpected infant deaths (SUIDs) among US medical examiners and coroners. METHODS: From January to November 2014, we conducted a nationally representative survey of US medical examiners and coroners who certify infant deaths. Two-stage unequal probability sampling with replacement was used. Medical examiners and coroners were asked to classify SUIDs based on hypothetical scenarios and to describe the evidence considered and investigative procedures used for cause-of-death determination...
June 5, 2017: Pediatrics
https://www.readbyqxmd.com/read/28813976/megane-pro-myo-electricity-visual-and-gaze-tracking-data-acquisitions-to-improve-hand-prosthetics
#16
Francesca Giordaniello, Matteo Cognolato, Mara Graziani, Arjan Gijsberts, Valentina Gregori, Gianluca Saetta, Anne-Gabrielle Mittaz Hager, Cesare Tiengo, Franco Bassetto, Peter Brugger, Barbara Caputo, Henning Muller, Manfredo Atzori
During the past 60 years scientific research proposed many techniques to control robotic hand prostheses with surface electromyography (sEMG). Few of them have been implemented in commercial systems also due to limited robustness that may be improved with multimodal data. This paper presents the first acquisition setup, acquisition protocol and dataset including sEMG, eye tracking and computer vision to study robotic hand control. A data analysis on healthy controls gives a first idea of the capabilities and constraints of the acquisition procedure that will be applied to amputees in a next step...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28813033/a-vision-based-wayfinding-system-for-visually-impaired-people-using-situation-awareness-and-activity-based-instructions
#17
Eunjeong Ko, Eun Yi Kim
A significant challenge faced by visually impaired people is 'wayfinding', which is the ability to find one's way to a destination in an unfamiliar environment. This study develops a novel wayfinding system for smartphones that can automatically recognize the situation and scene objects in real time. Through analyzing streaming images, the proposed system first classifies the current situation of a user in terms of their location. Next, based on the current situation, only the necessary context objects are found and interpreted using computer vision techniques...
August 16, 2017: Sensors
https://www.readbyqxmd.com/read/28796618/learning-based-shadow-recognition-and-removal-from-monochromatic-natural-images
#18
Mingliang Xu, Jiejie Zhu, Pei Lv, Bing Zhou, Marshall F Tappen, Rongrong Ji
This paper addresses the problem of recognizing and removing shadows from monochromatic natural images from a learning based perspective. Without chromatic information, shadow recognition and removal are extremely challenging in the literature, mainly due to the missing of invariant color cues. Natural scenes make this problem even harder due to the complex illumination condition and ambiguity from many near-black objects. In this paper, a learning based shadow recognition and removal scheme is proposed to tackle the challenges above...
August 7, 2017: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/28777830/multivariate-bayesian-decoding-of-single-trial-event-related-fmri-responses-for-memory-retrieval-of-voluntary-actions
#19
Dongha Lee, Sungjae Yun, Changwon Jang, Hae-Jeong Park
This study proposes a method for classifying event-related fMRI responses in a specialized setting of many known but few unknown stimuli presented in a rapid event-related design. Compared to block design fMRI signals, classification of the response to a single or a few stimulus trial(s) is not a trivial problem due to contamination by preceding events as well as the low signal-to-noise ratio. To overcome such problems, we proposed a single trial-based classification method of rapid event-related fMRI signals utilizing sparse multivariate Bayesian decoding of spatio-temporal fMRI responses...
2017: PloS One
https://www.readbyqxmd.com/read/28761440/fuzzy-classification-of-high-resolution-remote-sensing-scenes-using-visual-attention-features
#20
Linyi Li, Tingbao Xu, Yun Chen
In recent years the spatial resolutions of remote sensing images have been improved greatly. However, a higher spatial resolution image does not always lead to a better result of automatic scene classification. Visual attention is an important characteristic of the human visual system, which can effectively help to classify remote sensing scenes. In this study, a novel visual attention feature extraction algorithm was proposed, which extracted visual attention features through a multiscale process. And a fuzzy classification method using visual attention features (FC-VAF) was developed to perform high resolution remote sensing scene classification...
2017: Computational Intelligence and Neuroscience
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