A Sorocabana Railway Company: a relação de uma empresa ferroviária privada com as diretrizes governamentais (1907-1919)

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Automatic estimation of crowd density using texture

This paper considers the role of automatic estimation of crowd density and its importance for the automatic monitoring of areas where crowds are expected to be present. A new technique is proposed which is able to estimate densities ranging from very low to very high concentration of people, which is a difficult problem because in a crowd only parts of people's body appear. The new technique is based on the differences of texture patterns of the images of crowds. Images of low density crowds tend to present coarse textures, while images of dense crowds tend to present fine textures. The image pixels are classified in different texture classes and statistics of such classes are used to estimate the number of people. The texture classification and the estimation of people density are carried out by means of self organising neural networks. Results obtained respectively to the estimation of the number of people in a specific area of Liverpool Street Railway Station in London (UK) are presented. (C) 1998 Elsevier B.V. Ltd. All rights reserved.

Estimation of crowd density using image processing

Human beings perceive images through their properties, like colour, shape, size, and texture. Texture is a fertile source of information about the physical environment. Images of low density crowds tend to present coarse textures, while images of dense crowds tend to present fine textures. This paper describes a new technique for automatic estimation of crowd density, which is a part of the problem of automatic crowd monitoring, using texture information based on grey-level transition probabilities on digitised images. Crowd density feature vectors are extracted from such images and used by a self organising neural network which is responsible for the crowd density estimation. Results obtained respectively to the estimation of the number of people in a specific area of Liverpool Street Railway Station in London (UK) are presented.

Estimating crowd density with Minkowski fractal dimension

The estimation of the number of people in an area under surveillance is very important for the problem of crowd monitoring. When an area reaches an occupation level greater than the projected one, people's safety can be in danger. This paper describes a new technique for crowd density estimation based on Minkowski fractal dimension. Fractal dimension has been widely used to characterize data texture in a large number of physical and biological sciences. The results of our experiments show that fractal dimension can also be used to characterize levels of people congestion in images of crowds. The proposed technique is compared with a statistical and a spectral technique, in a test study of nearly 300 images of a specific area of the Liverpool Street Railway Station, London, UK. Results obtained in this test study are presented.

O centenário da ferrovia brasileira (1954): ensaio sobre a elabo-ração da memória ferroviária no Brasil

In 1954, it was celebrated the centenary of railways in Brazil. The date refers to the first section of 14.5 km of railway in Brazil (30/04/1854), in Rio de Janeiro, between Mauá and Fragoso, of the Petropolis Railway Company (Estrada de Ferro Petrópolis). Some of the texts and commemorative events indicated the symbolic values that the railroad took in the Brazilian history. Firstly, on 30.04.1954, the railway section Mauá-Fragoso and steam locomotive “Baroness” (the first used on the track) were declared national monuments(Decree No. 35,447-A, April 30, 1954). Secondly, some entities (Clube de Engenharia, Conselho Nacional de Geografia, Ministério da Viação e Obras Públicas) highlighted the importance of celebrating the Brazilian railway history and its historical significance, economic and geographical. For this, some events was occurred (the commemoration of one hundred years in Rio de Janeiro and Recife on 30.04.1954). Among the texts wrought produced, we highlight the text I Centenary of Brazilian Railroad (1954), released by the Brazilian Institute of Geography and Statistics (Instituto Brasileiro de Geografia e Estatística), and the National Council of Geography (Conselho Nacional de Geografia). The emphasis given to the railway refersto the geographical perspective (territorial expansion), but also makes mention of the Barãode Mauá, the founder of Petropolis Railway Company. We aim to understand the celebration from evocations about the Brazilian railroad history and some ideas that is assigned to the railway (and the Barãode Mauá), and railway heritage (the track and the locomotive “Baroneza”). On basis of this review will seek to understand how it was reconceived the railroad memory in view of these values and material elements.

O transporte ferroviário no nordeste brasileiro e o potencial de desenvolvimento do sudoeste do Estado do Piauí

Pós-graduação em Geografia - IGCE