This paper presents a computer vision system whose aim is to detect and classify cracks on road surfaces. Most of the previous works consisted complex expensive acquisition systems, whereas we have developed simpler one composed by single camera mounted light truck no additional illumination. The also includes tracking devices in order geolocalize captured images. algorithm has three steps: hard shoulder detection, cell candidate proposal, crack classification. First region interest (ROI)...

Background and objectives MicroRNAs (miRNAs) are small, noncoding RNAs that involved in carcinogenesis through postranscriptional gene regulatory activity. Few studies have focused on the detection of miR-21 serum rather than tissue. The current study aimed to measure expression levels evaluate their association with outcome colorectal cancer (CRC). Methods Blood samples were collected from 102 CRC patients undergoing surgery curative intent. measured using a quantitative reverse...

This paper deals with the problem of observability traffic networks, understanding as such identifying which is subset origin-destination (OD)-pair and link flows that can be calculated based on a observed OD-pair flows, related problems. A modified topological version an existing algebraic method for solving problems given. The step-by-step procedure, allowing us to update information once each item (OD-pair or flow) becomes available. In particular, three different are stated solved using...

A method for estimating the dimensions of non‐delimited free parking areas by using a static surveillance camera is proposed. The proposed specially designed to tackle main challenges urban scenarios (multiple moving objects, outdoor illumination conditions and occlusions between vehicles) with no training. core this work temporal analysis video frames detect occupancy variation areas. Two techniques are combined: background subtraction mixture Gaussians track vehicles creation transience...

A first step required to allow video indexing and retrieval of visual data is perform a temporal segmentation, that is, find the location camera-shot transitions, which can be either abrupt (i.e., cuts) or gradual (e.g., fades, dissolves, wipes). After critical review most approaches seeking solve this problem, we propose unified detection model (both for all types transitions), as well an implementation whose results improve upon those inspected reports. The innovation approach presented...

Intelligent Transportation Systems (ITS) allow us to have high quality traffic information reduce the risk of potentially critical situations. Conventional image-based detection methods difficulties acquiring good images due perspective and background noise, poor lighting weather conditions. In this paper, we propose a new method accurately segment track vehicles. After removing using Modified Inverse Perspective Mapping (MIPM), Hough transform is applied extract road lines lanes. Then,...

License plate recognition systems are becoming the key to many traffic related applications such as road monitoring or parking lot access control. In this paper, a software and hardware architecture implemented in ESPRIT 5184 LOCOMOTIVE project for automatic vehicle number identification is presented. The system, developed order dynamically recognize symbol clusters on moving objects, integrates different computer vision techniques intrusion detection pattern slightly controlled...

This paper describes a recommender system for sport videos, transmitted over the Internet and/or broadcast, in context of large-scale events, which has been tested Olympic Games. The is based on audiovisual consumption and does not depend number users, running only client side. avoids concurrence, computation privacy problems central server approaches scenarios with large such as designed to take advantage information available used along implicit user modeling his/her content consumption....

This paper deals with the error recovery problem when scanned license plate data are used to predict traffic flows. The aim is reduce effects of errors owing lost plates or mistaken transcription, improve estimation results. To this end, a method given and discussed for flow prediction using scanning taking into account possible in number recognition. proposed uses Bayesian networks because an efficient tool introducing scan as variable model mending mistakes pattern. Several examples...

In this paper, we propose techniques to assess the objective quality for stereoscopic 3D video content, related motion and depth map features. An analysis has been carried out in order understand what causes generation of visual discomfort viewer's eye when visualizing a video. Motion is an important feature affecting experience but also often cause discomfort. Guidelines are obtained after applying algorithm quantify impact over common cases happen, such as high sequences, scene changes...

Background In this paper we present a model of parameters to aesthetically characterize films using multi-disciplinary approach: by combining film theory, visual low-level video descriptors (modeled in order supply aesthetic information) and classification techniques machine deep learning. Methods Four different tests have been developed, each for application, proving the model's usefulness. These applications are: style clustering, prediction production year, genre detection influence on...

In this paper, an adaptive image calibration technique suitable for cultural heritage surveillance in controlled environments is proposed. Heritage pieces, as objects important to conserve, are prone degradation and thus the need of a constant watch order assess moment where maintenance required, preferably non-invasive way. By means crowdsourcing approach, we take cues pictures visitors piece under avoid permanent human effort on monitoring. paper propose novel approach destined monitor...

Three blade-stiffened CFRP panels with co-cured stiffener webs, manufactured by means of an elastomeric mould, have been tested under compressive load. Several Bragg grating sensors surface bonded on two the stiffened and embedded into webs third panel. The measured strain distribution in web skin panels. bucking onset was clearly detected every case, post-buckling behaviour can be tracked, but information is heavily dependent right choice sensor position buckling mode. To calibrate system,...

Audience research is a vital part of TV and radio broadcasting, as well the more recent forms media content delivery, such Internet, IPTV, mobile phones, Personal Video Recorders (PVRs) portable viewers. The uses audience range from self-promotion to refining service offerings setting advertising rates. Without reliable data, many businesses will be reluctant participate in new platforms. This paper describes an end-to-end system for convergent measurement focused on IPTV but covering also...

An intra-frame segmentation strategy to assist region-based motion estimation and compensation is presented. It based on the multiresolution application of a histogram clustering probabilistic relaxation-labeling algorithm, followed by local gradient-based bottom-up merging procedure. Specially suited for video coding, it strongly differs from other proposals in that generates arbitrary shaped image regions with pixel accuracy at low computational cost, while allowing full reconstruction...

Ciudad Real and Puertollano, two small Spanish cities approximately one hour’s travelling time from Madrid on the Madrid-Sevilla High Speed Train (HST) line, are of particular interest in study impact HSTs such centres population. Both had been separated main transportation corridor between Andalusia since end 18 th Century and, at 1992, HST line reintegrated them into this corridor. That same year Autopista de Andalucia (Andalusia Freeway), whose route runs some 50 kilometres to east...

This paper provides a technique to determine the minimum required measurement set ensure observability in state estimation even if any meters fail. The relies on solving nonlinear integer programming problem. proposed procedure is illustrated through simple example and three case studies based IEEE Test Systems. Conclusions are finally drawn.

Traffic surveillance systems are interesting to many researchers improve the traffic control and reduce risk caused by accidents. In this area, published works only concerned about vehicle detection in normal conditions. The camera may vibrate due wind or bridge movement. Detection tracking of vehicles a very difficult task when we have bad weather conditions winter (snowy, rainy, windy, etc.) dusty arid semiarid regions at night, among others. paper, proposed method track count with...

Phytoplankton such as diatoms or desmids are useful for monitoring water quality. Manual image analysis is impractical due to the huge diversity of this group microalgae and its great morphological plasticity, hence importance automating procedure. High-resolution images phytoplankton cells can now be acquired by digital microscopes, which facilitate identification process specimens. Therefore, new systems potentially advantageous compared manual methods counting solution identification....