Tracking Human Position and Lower Body Parts Using Kalman and Particle Filters Constrained by Human Biomechanics

In this paper, a novel framework for visual tracking of human body parts is introduced. The approach presented demonstrates the feasibility of recovering human poses with data from a single uncalibrated camera by using a limb-tracking system based on a 2-D articulated model and a double-tracking strategy. Its key contribution is that the 2-D model is only constrained by biomechanical knowledge about human bipedal motion, instead of relying on constraints that are linked to a specific activity or camera view. These characteristics make our approach suitable for real visual surveillance applications. Experiments on a set of indoor and outdoor sequences demonstrate the effectiveness of our method on tracking human lower body parts. Moreover, a detail comparison with current tracking methods is presented.

Nitrofuran antibiotic metabolites detected at parts per million concentrations in retina of pigs - a new matrix for enhanced monitoring of nitrofuran abuse

Nitrofuran metabolite residues AOZ, AMOZ, AHD and SEM were detected at parts per million concentrations in retina of pigs fed therapeutic doses of nitrofuran antibiotics. Discovery of this residue depot may allow widespread technology transfer to laboratories lacking LC-MS/MS thus improving global monitoring of these drugs.

A sparse representation based fast detection method for surface defect detection of bottle caps

A practical machine-vision-based system is developed for fast detection of defects occurring on the surface of bottle caps. This system can be used to extract the circular region as the region of interests (ROI) from the surface of a bottle cap, and then use the circular region projection histogram (CRPH) as the matching features. We establish two dictionaries for the template and possible defect, respectively. Due to the requirements of high-speed production as well as detecting quality, a fast algorithm based on a sparse representation is proposed to speed up the searching. In the sparse representation, non-zero elements in the sparse factors indicate the defect's size and position. Experimental results in industrial trials show that the proposed method outperforms the orientation code method (OCM) and is able to produce promising results for detecting defects on the surface of bottle caps.

Book Review - An Architecture of Parts: Architects, Building Workers and Industrialisation in Britain 1940–1970 by Christine Wall and Architecture and the Welfare State, edited by Mark Swenarton, Tom Avermaete and Dirk van den Heuvel.

The whole song is greater than the sum of its parts: Local and structural features in music listening

Four experiments reported here demonstrate the importance of structural as well as local features in listening to contemporary popular music. Experiment 1 established that listeners without formal musical training regard as salient the formal structure that links individual sections of songs. When asked to listen to and assemble the individual sections of unfamiliar contemporary songs to form new compositions, participants positioned the sections in ways consistent with the true structure of the music. In Experiment 2, participants were provided with only the song lyrics with which to arrange the individual sections of contemporary songs. It was found that in addition to musical features
studied in Experiment 1, lyrical content of contemporary music also acts as a strong cue to a song’s formal structure. Experiments 3 and 4 revealed that listeners’ enjoyment of music is influenced both by structural features and local features of music, which were carried by the individual song sections.
The influence of structural features on music listening was most apparent over repeated hearings. In Experiment 4, listeners’ liking for contemporary music followed an inverted U-shape trend with repeated exposure, in which liking for music took a downward turn after just four repeated hearings. In contrast, liking for restructured music increased with repeated hearings and almost eliminated an initial negative effect of restructuring by the sixth hearing. In sum, our findings demonstrate that structural features as well as local features of contemporary music are salient and important to
listeners.

Accurate image capturing control of bottle caps based on iterative learning control and Kalman filtering

This paper investigates camera control for capturing bottle cap target images in the fault-detection system of an industrial production line. The main purpose is to identify the targeted bottle caps accurately in real time from the images. This is achieved by combining iterative learning control and Kalman filtering to reduce the effect of various disturbances introduced into the detection system. A mathematical model, together with a physical simulation platform is established based on the actual production requirements, and the convergence properties of the model are analyzed. It is shown that the proposed method enables accurate real-time control of the camera, and further, the gain range of the learning rule is also obtained. The numerical simulation and experimental results confirm that the proposed method can not only reduce the effect of repeatable disturbances but also non-repeatable ones.

Kernelized structural classification for 3D dogs body parts detection

Despite pattern recognition methods for human behavioral analysis has flourished in the last decade, animal behavioral analysis has been almost neglected. Those few approaches are mostly focused on preserving livestock economic value while attention on the welfare of companion animals, like dogs, is now emerging as a social need. In this work, following the analogy with human behavior recognition, we propose a system for recognizing body parts of dogs kept in pens. We decide to adopt both 2D and 3D features in order to obtain a rich description of the dog model. Images are acquired using the Microsoft Kinect to capture the depth map images of the dog. Upon depth maps a Structural Support Vector Machine (SSVM) is employed to identify the body parts using both 3D features and 2D images. The proposal relies on a kernelized discriminative structural classificator specifically tailored for dogs independently from the size and breed. The classification is performed in an online fashion using the LaRank optimization technique to obtaining real time performances. Promising results have emerged during the experimental evaluation carried out at a dog shelter, managed by IZSAM, in Teramo, Italy.

Injection moulding process optimization for microstructured parts production

Ao longo das últimas décadas, a micromoldação (u-moldação) por injeção de termoplásticos ganhou um lugar de destaque no mercado de equipamentos eletrónicos e de uma ampla gama de componentes mecânicos. No entanto, quando o tamanho do componente diminui, os pressupostos geralmente aceites na moldação por injeção convencional deixam de ser válidos para descrever o comportamento reológico e termomecânico do polímero na microimpressão. Por isso, a compreensão do comportamento dinâmico do polímero à escala micro bem como da sua caraterização, análise e previsão das propriedades mecânicas exige uma investigação mais alargada. O objetivo principal deste programa doutoral passa por uma melhor compreensão do fenómeno físico intrínseco ao processo da μ-moldação por injeção. Para cumprir com o objetivo estabelecido, foi efetuado um estudo paramétrico do processo de μ-moldação por injeção, cujos resultados foram comparados com os resultados obtidos por simulação numérica. A caracterização dinâmica mecânica das μ-peças foi efetuada com o objetivo de recolher os dados necessários para a previsão do desempenho mecânico das mesmas, a longo prazo. Finalmente, depois da calibração do modelo matemático do polímero, foram realizadas análises estruturais com o intuito de prever o desempenho mecânico das μ-peças no longo prazo. Verificou-se que o desempenho mecânico das μ-peças pode ser significativamente afetado pelas tensões residuais de origem mecânica e térmica. Estas últimas, resultantes do processo de fabrico e das condições de processamento, por isso, devem ser consideradas na previsão do desempenho mecânico e do tempo de serviço das u-moldações.

RFID passive tag antenna for cork bottle stopper

In this paper we propose a possible design for a RFID tag antenna embedded into cork. The antenna is small and conformal and intended to be used into bottle stoppers for tracking and logging purposes of wine or other beverages. The proposed design is based on an inductive ring and an added resistance in order to modify the current distributions of the antenna. The resulting antenna has a relatively directive radiation pattern and despite the small efficiency it is able to operate with a commercial RFID reader at a reasonable distance. © 2014 IEEE.

UHF RFID tag antenna for bottle labeling

In this paper we present a possible design for a passive RFID tag antenna on paper substrate to be integrated into bottle labels. Considering the application scenario, we verified and determined the permittivity and dissipation factor of the materials in order to simulate all the possible sources that would influence the antenna performance. The measured results reported a maximum reading range of 1.45 m even though the efficiency obtained with the antenna integrated into the bottle was only of 3%. © 2014 IEEE.

Establishing the main Guidelines for Cast Steel to Produce Truck Parts

Este trabalho foi realizado na Scania CV AB e teve como principal objectivo estabelecer uma diretriz sobre a possível utilização de aços vazados. Existe uma grande necessidade na realização deste trabalho, de forma a apoiar os engenheiros de projecto no seu processo de selecção dos materiais mais adequados, para produzir componentes mais leves e de elevado desempenho. Esta diretriz apresenta informação relacionada com propriedades mecânicas, processos de fundição, vazabilidade, tipologia de defeitos, tratamentos térmicos, soldabilidade e tratamentos superficiais dos aços vazados. Este trabalho foi limitado, na seleção de materiais para componentes do camião, a aços vazados que poderiam ser aplicados em dois componentes específicos: um componente estrutural da carroçaria sujeito a esforços de fadiga e a um colector de gases de combustão, sujeito a fluência, oxidação, fadiga por corrosão, fadiga-térmica e fadiga-mecânica. Foi realizado um benchmark focado nestes dois componentes de forma a saber que materiais são utilizados de momento por outras empresas concorrentes. Foi realizada ainda uma análise sobre possíveis materiais que possam ser aplicados em cada componente referido. Foi conduzida uma caracterização no estado bruto de fundição de um aço inoxidável vazado usado para produzir um protótipo do colector de gases. Esta caracterização consistiu numa análise microestrutural e medição de macro e microdurezas. Além da caracterização inicial, foram aplicados um conjunto de tratamentos térmicos, de forma a estudar a possibilidade de eliminar os carbonetos presentes inicialmente nas fronteiras de grão. As principais conclusões deste trabalho são que o aço vazado apresenta potencial para ser uma escolha válida em diversas aplicações, devido a um leque alargado de propriedades apresentadas tipicamente por este material. Relativamente a aplicações estruturais, o aço vazado é vantajoso comparativamente ao ferro fundido, quando são requeridos, por exemplo, soldabilidade e elevada resistência, combinada com elevada tenacidade à fractura. Para componentes sujeitos a elevadas temperaturas de serviço, o aço inoxidável vazado é vantajoso quando usado a temperaturas superiores a 750°C, apesar do seu elevado custo. O tratamento térmico composto por um recozimento de solubilização seguido de envelhecimento, elimina quase na totalidade os carbonetos presentes nas fronteiras de grão e verifica-se um aumento de dureza através de uma precipitação de carbonetos finamente dispersos na matriz, que poderão também aumentar a resistência à fluência.