In the following paper authors present a novel solution to a task of an automatic vehicle counting and classification. The depicted, hybrid system is composed of a set of remote measurement units alongside a central computing node connected in a network. The developed software package deployed within this system is based on a digital video processing algorithms and contemporary neural network algorithms, for vehicle detection and detected object classification, respectively. Conducted measurements depict the performance of the designed system with respect to the agenda of the National Center for Research and Development RID project.
The following paper depicts an architectural layout and operational insights towards an optoelectronic system dedicated for vehicle counting and classification, designed to monitor occupancy of rest areas. The system is based upon an image cue acquisition by video cameras and advanced signal processing mechanism. In order to satisfy the appropriate realization of measurement procedure (counting and classification), a specific measurement configuration scheme alongside optimized video stream capturing parameters were set up. Concerning signal processing methods, the most effective and appropriate for the purpose of vehicle counting and classification were selected. Moreover, the article presents the outcomes of the designed measurement campaign conducted on the S7 expressway within the agenda of the National Center for Research and Development RID project. The results obtained with use of the designed methodology were compared to the outcomes of the manual method.
This paper presents a method of analysis of images obtained with the Asynchronous Delay Tap Sampling technique, which is used for simultaneous monitoring of a number of phenomena in the physical layer of an optical network. This method allows visualization of results in a form of an optical signal's waveform (characteristics depicting phase portraits). Depending on a specific phenomenon being observed (i.e.: chromatic dispersion, polarization mode dispersion and ASE noise), the shape of the waveform changes. Herein presented original waveforms were acquired utilizing the OptSim 4.0 simulation package. After specific simulation testing, the obtained numerical data was transformed into an image form, that was further subjected to the analysis using authors' custom algorithms. These algorithms utilize various pixel operations and creation of reports each image might be characterized with. Each individual report shows the number of black pixels being present in the specific image segment. Afterwards, generated reports are compared with each other, across the original-impaired relationship. The differential report is created which consists of a "binary key" that shows the increase in the number of pixels in each particular segment. The ultimate aim of this work is to find the correlation between the generated binary keys and the analyzed common phenomenon being observed, allowing identification of the type of interference occurring. In the further course of the work it is evitable to determine their respective values. The presented work delivers the first objective - the ability to recognize interference.
The following article depicts insights towards design, creation and testing of a genuine metric designed for a 3DTV video quality evaluation. The Compressed Average Image Intensity (CAII) mechanism is based upon stereoscopic video content analysis, setting its core feature and functionality to serve as a versatile tool for an effective 3DTV service quality assessment. Being an objective type of quality metric it may be utilized as a reliable source of information about the actual performance of a given 3DTV system, under strict providers evaluation. Concerning testing and the overall performance analysis of the CAII metric, the following paper presents comprehensive study of results gathered across several testing routines among selected set of samples of stereoscopic video content. As a result, the designed method for stereoscopic video quality evaluation is investigated across the range of synthetic visual impairments injected into the original video stream.
The following article describes proposed objective method for a 3DTV video quality evaluation, a Compressed Average Image Intensity (CAII) method. Identification of the 3DTV service's content chain nodes enables to design a versatile, objective video quality metric. It is based on an advanced approach to the stereoscopic videostream analysis. Insights towards designed metric mechanisms, as well as the evaluation of performance of the designed video quality metric, in the face of the simulated environmental conditions are herein discussed. As a result, created CAII metric might be effectively used in a variety of service quality assessment applications.
In this article a new atmospheric visibility sensor design is presented. It employs an empirical link between acquired
lidar backscattered signals and atmospheric visibility parameter. In particular, received backscattered beam is under the
autocorrelation analysis within the defined correlation distance, thus the outcome of this procedure presents the overall
characteristic of the correlation coefficients, as a function of examined space range. Specifically, significant points of
interest of this characteristic are then extracted and processed in order to evaluate the atmospheric visibility parameter. In
various experimental demo campaigns, under varying weather conditions, performance of the designed device was
assessed. It is reported, the approximate range of reliable atmospheric visibility parameter evaluation falls into the
interval of 100 to 1400 m.
In this article a newly developed concept towards modeling of a multimedia service offering stereoscopic motion
imagery is presented. Proposed model is based on the approach of utilization of Software-defined Networking or
Software Defined Networks architecture (SDN). The definition of 3D television service spanning SDN concept is
identified, exposing basic characteristic of a 3DTV service in a modern networking organization layout. Furthermore,
exemplary functionalities of the proposed 3DTV model are depicted. It is indicated that modeling of a 3DTV service in
the Software-defined Networking architecture leads to multiplicity of improvements, especially towards flexibility of a
service supporting heterogeneity of end user devices.