Tecnologias Digitais da Informação e Comunicação: explorando as possibilidades pedagógicas da produção de vídeos

Pós-graduação em Docência para a Educação Básica - FC

Digital monitoring of broiler breeder behavior for assessment of thermal welfare

The assessment of welfare issues has been a challenge for poultry producers, and lately welfare standards needs to be reached in order to agree with international market demand. This research proposes the use of continuous behavior monitoring in order to contribute for assessing welfare. A software was developed using the language Clarium. The software managed the recording of data as well as the data searching in the database Firebird. Both software and the observational methodology were tested in a trial conducted inside an environmental chamber, using three genetics of broiler breeders. Behavioral pattern was recorded and correlated to ambient thermal and aerial variation. Monitoring video cameras were placed on the roof facing the used for registering the bird's behavior. From video camera images were recorded during the total period when the ambient was bright, and for analyzing the video images a sample of 15min observation in the morning and 15 min in the afternoon was used, adding up to 30 min daily observation. A specific model so-called behavior was developed inside the software for counting specific behavior and its frequency of occurrence, as well as its duration. Electronic identification was recorded for 24h period. Behavioral video recording images was related to the data recorded using electronic identification.. Statistical analysis of data allowed to identify behavioral differences related to the change in thermal environment, and ultimately indicating thermal stress and departure from welfare conditions.

Video target tracking by using competitive neural networks

A target tracking algorithm able to identify the position and to pursuit moving targets in video digital sequences is proposed in this paper. The proposed approach aims to track moving targets inside the vision field of a digital camera. The position and trajectory of the target are identified by using a neural network presenting competitive learning technique. The winning neuron is trained to approximate to the target and, then, pursuit it. A digital camera provides a sequence of images and the algorithm process those frames in real time tracking the moving target. The algorithm is performed both with black and white and multi-colored images to simulate real world situations. Results show the effectiveness of the proposed algorithm, since the neurons tracked the moving targets even if there is no pre-processing image analysis. Single and multiple moving targets are followed in real time.

The influence of subpixel measurement on digital camera calibration

The aim of this work is to evaluate the influence of point measurements in images, with subpixel accuracy, and its contribution in the calibration of digital cameras. Also, the effect of subpixel measurements in 3D coordinates of check points in the object space will be evaluated. With this purpose, an algorithm that allows subpixel accuracy was implemented for semi-automatic determination of points of interest, based on Fõrstner operator. Experiments were accomplished with a block of images acquired with the multispectral camera DuncanTech MS3100-CIR. The influence of subpixel measurements in the adjustment by Least Square Method (LSM) was evaluated by the comparison of estimated standard deviation of parameters in both situations, with manual measurement (pixel accuracy) and with subpixel estimation. Additionally, the influence of subpixel measurements in the 3D reconstruction was also analyzed. Based on the obtained results, i.e., on the quantification of the standard deviation reduction in the Inner Orientation Parameters (IOP) and also in the relative error of the 3D reconstruction, it was shown that measurements with subpixel accuracy are relevant for some tasks in Photogrammetry, mainly for those in which the metric quality is of great relevance, as Camera Calibration.

Videoclipe 2.0: interatividade e regimes de interação na era digital

Pós-graduação em Comunicação - FAAC

Explorando a interatividade local em TV digital: uma metodologia para vídeo institucional de uma escola de nível técnico

Pós-graduação em Televisão Digital: Informação e Conhecimento - FAAC

Documentários e redes sociais na televisão digital

Pós-graduação em Televisão Digital: Informação e Conhecimento - FAAC

Integração das mídias: TV digital, ambiente virtual de aprendizagem e material impresso na construção de disciplinas para um curso de pedagogia a distância

Pós-graduação em Televisão Digital: Informação e Conhecimento - FAAC

A produção independente de webséries pela perspectiva multiplataforma da televisão digital e internet

Pós-graduação em Televisão Digital: Informação e Conhecimento - FAAC

Tecnologia digital móvel e educação: envolvendo jovens na discussão sobre o ECA

Pós-graduação em Televisão Digital: Informação e Conhecimento - FAAC

Avaliação de cálculos urinários em per-operatórios por imagem digital e técnicas físico-químicas e analíticas

Pós-graduação em Engenharia Mecânica - FEG

A realidade aumentada na produção de conteúdos para TV digital

Pós-graduação em Televisão Digital: Informação e Conhecimento - FAAC

Proposta de modelo de processo de produção de conteúdo em emissora de TV digital universitária

Pós-graduação em Televisão Digital: Informação e Conhecimento - FAAC

Gestão de imagens em movimento de matérias jornalísticas em banco de dados na TV Digital

Pós-graduação em Televisão Digital: Informação e Conhecimento - FAAC

Digital Inline Holographic Microscopy (DIHM) of weakly-scattering subjects

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)