Motion Detection for Video Surveillance

This thesis is related to the broad subject of automatic motion detection and analysis in videosurveillance image sequence. Besides, proposing the new unique solution, some of the previousalgorithms are evaluated, where some of the approaches are noticeably complementary sometimes.In real time surveillance, detecting and tracking multiple objects and monitoring their activities inboth outdoor and indoor environment are challenging task for the video surveillance system. Inpresence of a good number of real time problems limits scope for this work since the beginning. Theproblems are namely, illumination changes, moving background and shadow detection.An improved background subtraction method has been followed by foreground segmentation, dataevaluation, shadow detection in the scene and finally the motion detection method. The algorithm isapplied on to a number of practical problems to observe whether it leads us to the expected solution.Several experiments are done under different challenging problem environment. Test result showsthat under most of the problematic environment, the proposed algorithm shows the better qualityresult.

Evaluation of Red Colour Segmentation Algorithms in Traffic Signs Detection

Colour segmentation is the most commonly used method in road signs detection. Road sign contains several basic colours such as red, yellow, blue and white which depends on countries.The objective of this thesis is to do an evaluation of the four colour segmentation algorithms. Dynamic Threshold Algorithm, A Modification of de la Escalera’s Algorithm, the Fuzzy Colour Segmentation Algorithm and Shadow and Highlight Invariant Algorithm. The processing time and segmentation success rate as criteria are used to compare the performance of the four algorithms. And red colour is selected as the target colour to complete the comparison. All the testing images are selected from the Traffic Signs Database of Dalarna University [1] randomly according to the category. These road sign images are taken from a digital camera mounted in a moving car in Sweden.Experiments show that the Fuzzy Colour Segmentation Algorithm and Shadow and Highlight Invariant Algorithm are more accurate and stable to detect red colour of road signs. And the method could also be used in other colours analysis research. The yellow colour which is chosen to evaluate the performance of the four algorithms can reference Master Thesis of Yumei Liu.

I skuggan av kulturella stereotypier : perspektiv på forskning om genus, jämställdhet och etniska relationer i Sverige

In the shadow of ethno-cultural stereotypes: gender, equity and ethnic relations in Sweden Scientific debates about cultural differences between ”Swedes” and migrants/ethnic minorities in Sweden have fuelled stereotypical categorizations and a socio-cultural demarcation between ”us” and ”them”. The authors argue that this development has underpinned constructions of foreignness. In the light of a critical review of the current debate on honour related violence, the authors discuss – inspired by Georg Simmel’s and Erving Goffman’s classic texts on the stranger, the stigma and the construction of foreignness – alternative understandings of culture and politics of belonging with a focus on gender, agency and identity formation. Formation of cultural and ethnic identity should be related, the authors conclude, to a dynamic interplay between the past and the present. Moreover, the social dimension should be highlighted, in order to avoid a stigmatizing culturalism.

Akademisk kvalitet, vad är det? : Om utarmningen av den akademiska autonomin

What is academic quality? On the decline of academic autonomy In light of the transformations that universities currently undergo, with Bologna as a keyword, the following questions are put: What ideals lie behind the assessment of academic “excellence” and “quality”? What agents have the ability to define what is good science and education today? These questions are approached through Pierre Bourdieus concept of field. Looking at the development the last decade, traditional academic values, such as the ideal of universal knowledge as (personal and collective) enrichment and the intellectual independence “of all political authority and economic power”, as stated in the Magna Charta Universitatum, seem to have emerged into the shadow of employability, knowledge control, competitiveness, and economic benefit. In connection with the formation of concepts such as “the knowledge society” and “knowledge based economies” the university has received a somewhat different and more central role in society. The university has come to take the role more of a knowledge producing enterprise clearly directed towards the surrounding society. There are higher demands on academic knowledge to contribute to economic, regional or national development and competitiveness. When the university is regarded as a knowledge company whose task is to accoun tfor the requests of the students, the labour market, and the business world it undertakes to follow trends and short term social phases rather than to critically examine them, which has been a traditional task for the university. If the academic work is guided by the market economical principle, that the client requests decide what quality is, instead of the experts on the academic field themselves (i.e. the scientists,) it is obviously not scientific ideals that constitute the criteria for what is good science and education.

Un estudio de La Sombra del Viento de Carlos RuizZafón desde una perspectiva de género

Esta tesina tiene el propósito de analizar las características de algunos de lospersonajes principales de La Sombra del Viento de Carlos Ruiz Zafón desde un punto de vistade género. El estudio se basa en diferentes teorías de género que pretenden funcionar comoherramientas para poder destacar las diferencias entre las descripciones femeninas y lasmasculinas que aparecen en la obra. Primero, definimos y concretamos el término género conla ayuda de las teorías de Yvonne Hirdman. En segundo lugar, presentamos la teoría deldualismo, de acuerdo con la cual Lena Gemzöe hace una división entre las cualidadesmasculinas y femeninas. El objetivo de nuestro estudio ha sido hacer un análisis de lascaracterísticas de algunos de los personajes principales de para demostrar si existenconstrucciones de identidad de género desde una perspectiva dualista. Como resultado denuestro estudio podemos afirmar que Zafón refuerza la división entre las cualidadesmasculinas y femeninas. Los personajes masculinos son descritos como fuertes, valientes,lógicos, intelectuales e independientes. Paralelamente, las mujeres son descritas como débiles,cobardes, intuitivas y dependientes. Además, consideramos que Zafón da a todos lospersonajes masculinos mayor espacio, estatus y protagonismo en el desarrollo de la historia.En todo momento, queda claro que Zafón crea de forma inconsciente el orden de género yrefuerza así las diferencias sexuales.

Traffic and Road Sign Recognition

This thesis presents a system to recognise and classify road and traffic signs for the purpose of developing an inventory of them which could assist the highway engineers’ tasks of updating and maintaining them. It uses images taken by a camera from a moving vehicle. The system is based on three major stages: colour segmentation, recognition, and classification. Four colour segmentation algorithms are developed and tested. They are a shadow and highlight invariant, a dynamic threshold, a modification of de la Escalera’s algorithm and a Fuzzy colour segmentation algorithm. All algorithms are tested using hundreds of images and the shadow-highlight invariant algorithm is eventually chosen as the best performer. This is because it is immune to shadows and highlights. It is also robust as it was tested in different lighting conditions, weather conditions, and times of the day. Approximately 97% successful segmentation rate was achieved using this algorithm.Recognition of traffic signs is carried out using a fuzzy shape recogniser. Based on four shape measures - the rectangularity, triangularity, ellipticity, and octagonality, fuzzy rules were developed to determine the shape of the sign. Among these shape measures octangonality has been introduced in this research. The final decision of the recogniser is based on the combination of both the colour and shape of the sign. The recogniser was tested in a variety of testing conditions giving an overall performance of approximately 88%.Classification was undertaken using a Support Vector Machine (SVM) classifier. The classification is carried out in two stages: rim’s shape classification followed by the classification of interior of the sign. The classifier was trained and tested using binary images in addition to five different types of moments which are Geometric moments, Zernike moments, Legendre moments, Orthogonal Fourier-Mellin Moments, and Binary Haar features. The performance of the SVM was tested using different features, kernels, SVM types, SVM parameters, and moment’s orders. The average classification rate achieved is about 97%. Binary images show the best testing results followed by Legendre moments. Linear kernel gives the best testing results followed by RBF. C-SVM shows very good performance, but ?-SVM gives better results in some case.