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Ground Truth Generating Tool for Traffic Video Detector

://vitalas.ercim.eu/images/stories/pdf/web_cert_iti.pdf (last access: March 2015) [6] -, (2010). Video Image Annotation tool (VIA) from CERTH-ITI http://sourceforge.net/projects/via-tool/ (last access: March 2015) [7] Ambardekar, A., Nicolescu, M., Dascalu, S. (2009). Ground Truth Verification Tool (GTVT) for Video Surveillance Systems, Advances in Computer-Human Interactions ACHI ’09. Second International Conferences on, 354-359 [8] Bonneson, J., Abbas, M. (2002). Intersection Video Detection Manual, Report FHWA/TX-03/4285-2 , Texas Transportation Institute, The Texas A&M University System, College

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Image Processing & Communications
The Journal of University of Technology and Life Sciences in Bydgoszcz
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Cuda Based Fuzzy C-Means Acceleration for the Segmentation of Images with Fungus Grown in Foam Matrices

Abstract

In the paper authors verify the advantages of GPU computing applied to fuzzy c-means segmentation. Three different algorithms implementing FCM method have been compared by their execution times. All tests refer to the images of polyurethane foam matrices filled with fungus (mould). They are aimed at separating mould regions from the matrix base. The authors proposed a method using CUDA programming tools, which significantly speedsup FCM computations with multiple cores built in a graphic card.

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Detection of tracer particles in tomography images for analysis of gravitational flow in silo

Abstract

This paper presents a method for the investigations of the gravity flow of granular materials based on the analysis of CT images. The system of X-ray tomography allows to visualize the distribution of bulk material inside the silo model. The images of the distribution of the concentration of the material, both in the form of 3D tomography images and 2D radiographic images, allow to track the behaviour of the material during the silo discharging process. Application of image processing and analysis provides an in-depth tool for investigation of the flow. The proposed, in the paper, methodology of the tracer particles allow to track the particles position changes during the gravitational flow in silo. The determination of tracer particles position is based on the vision information stored in volumetric computed tomography images and two-dimensional radiography.

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Real-Time Detection of Movement in Prohibited Direction for Video Surveillance System

Abstract

Video surveillance systems are well established tools for monitoring important areas and detecting abnormal situations. In places such as one way road or tunnel, airport arrival gate, subway entry gate etc. it is important to monitor the direction of movement and to detect those which are prohibited. If the event is detected in the same time when the situation happens, a fast reaction can fix the problem (turning on the red light to prevent cars from entering the tunnel, sending security force to stop and search the suspect etc.). In the article a working system which is able to detect movement in prohibited direction is presented. The algorithm proved a very good detection rate for tested movie sequences. By optimizing various aspects of the algorithm a real-time efficiency (30fps) for 640×480 resolution frames is achieved.

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A Hybrid method for testing routing protocols in mesh networks

protocols for wireless mesh networks, In Ryszard S. Choras, editor, Image Processing and Communications Challenges 5, volume 233 of Advances in Intelligent Systems and Computing, pages 353-361. Springer International Publishing, 2014 [8] G.F. Riley, T.R. Henderson, The ns-3 network simulator modeling and tools for network simulation. In Klaus Wehrle, Mesut Güne¸s, and James Gross, editors, Modeling and Tools for Network Simulation, chapter 2, pages 15-34, Springer Berlin Heidelberg, Berlin, Heidelberg, 2010

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Medical Visualizer 3D: Hardware Controller for Dmd Module

References [1] -, Digilent ATLYS, http://www.digilentinc.com [2] -, Xilinx SDK, http://www.xilinx.com/tools/sdk.htm [3] -, Xilinx XPS, http://www.xilinx.com/tools/xps.htm [4] Douglass, M. (2003). DMD reliability: a MEMS success story. Society of Photo-Optical Instrumentation Engineers Proceedings, 4980 [5] Gong, C., Mehrl, D. (2014). Characterization of the digital micromirror devices. IEEE Transactions on Electron Devices, 61(12) [6] Han, C.,Wei, S., Liu, K. (2008

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The Use of Image Processing Methods to Improve the Detection of User’s Hand in Vision Based Games Used in Neurological Rehabilitation

Abstract

Vision based games is a type of software that can become a promising, modern neuroreha-bilitation tool. This paper presents the possibilities offered for the implementation of this kind of software by the open source vision library. The methods and functions related to the aspect of image processing and analysis are presented in terms of their usefulness in creating programs based on the analysis of the images acquired from the camera. On the basis of the issues contained in the paper, the functionality of the library is presented in terms of the possibilities related primarily to the processing of video sequences, detection, tracking and analysis of the movement of objects.

As part of the work, the software that meets the requirements for modern neurorehablitation games has been implemented. Its main part is responsible for the identification of the current position of the user’s hand and is based on the image captured from the webcam. Whereas the tasks set for the user used among others supporting visual-motor coordination.

The main subject of the research was the analysis of the impact of the applied methods of initial image processing on the correctness of the chosen tracking algorithm. It was proposed and experimentally examined the impact of operations such as morphological transformations or apply an additional mask on a functioning of the CamShift algorithm. And hence on the functioning of the whole game which analyzing the user’s hand movement.

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Land Map Image Dataset: Ground-Truth And Classification Using Visual And Textural Features

Abstract

Research on document image analysis is actively pursued in the last few decades and services like OCR, vectorization of drawings/graphics and various types of form processing are very common. Handwritten documents, old historical documents and documents captured through camera are now being the subjects of active research. However, another very important type of paper document, namely the map document image processing research suffers due to the inherent complexities of the map document and also for nonavailability of benchmark public data-sets. This paper presents a new data-set, namely, the Land Map Image Database (LMIDb) that consists of a variety of land maps images (446 images at present and growing; scanned at 200/300 dpi in TIF format) and the corresponding ground-truth. Using semiautomatic tools non-text part of the images are deleted and the text-only ground-truth is also kept in the database. This paper also presents a classification strategy for map images using which the maps in the database are automatically classified into Political (Po), Physical (Ph), Resource (R) and Topographic (T) maps. The automatic classification of maps help indexing of the images in LMIDb for archival and easy retrieval of the right maps to get the appropriate geographical information. Classification accuracy is also tested on the proposed data-set and the result is encouraging.

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Processing Astronomical Image Mosaic Workflows With An Expert Broker In Cloud Computing

Abstract

Montage image engine is an astronomical tool created by NASA’s Earth Sciences Technology Office to obtain mosaics of the sky by the processing of multiple images from diverse regions. The associated computational processes involve the recalculation of the images geometry, the re-projection of the rotation and scale, the homogenization of the background emission and the combination of all images in a standardized format to show a final mosaic. These processes are highly computing demanding and structured in the form of workflows. A workflow is a set of individual jobs that allow the parallelization of the workload to be executed in distributed systems and thus, to reduce its finish time. Cloud computing is a distributed computing platform based on the provision of computing resources in the form of services becoming more and more required to perform large scale simulations in many science applications. Nevertheless, a computational cloud is a dynamic environment where resources capabilities can change on the fly depending on the networks demands. Therefore, flexible strategies to distribute workload among the different resources are necessary. In this work, the consideration of fuzzy rule-based systems as local brokers in cloud computing is proposed to speed up the execution of the Montage workflows. Simulations of the expert broker using synthetic workflows obtained from real systems considering diverse sets of jobs are conducted. Results show that the proposal is able to significantly reduce makespan in comparison to well-known scheduling strategies in distributed systems and in this way, to offer an efficient solution to accelerate the processing of astronomical image mosaic workflows.

Open access