Leaf paraheliotropism in Styrax camporum confers increased light use efficiency and advantageous photosynthetic responses rather than photoprotection

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

Leaf gas exchange and fruit yield in sweet orange trees as affected by citrus variegated chlorosis and environmental conditions

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

Root, shoot and leaf traits of the congeneric Styrax species may explain their distribution patterns in the cerrado sensu lato areas in Brazil

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

Seasonal effects on the relationship between photosynthesis and leaf carbohydrates in orange trees

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

Leaf structure of the cerrado (Brazilian savanna) woody plants

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

Leaf anatomy as a contribution to the taxonomy of Salacioideae N.Hall, ex Thorne & Reveal (Celastraceae)

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

The effects of extrusion conditions and the addition of volatile compounds and flavour enhancers to corn grits on the retention of the volatile compounds and texture of the extrudates

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

Changes in leaf physiology caused by Calacarus heveae (Acari, Eriophyidae) on rubber tree

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Mites and leaf domatia: no evidence of mutualism in Coffea arabica plants

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.

On the efficacy of texture analysis for crowd monitoring

The goal of this work is to assess the efficacy of texture measures for estimating levels of crowd densities ill images. This estimation is crucial for the problem of crowd monitoring. and control. The assessment is carried out oil a set of nearly 300 real images captured from Liverpool Street Train Station. London, UK using texture measures extracted from the images through the following four different methods: gray level dependence matrices, straight lille segments. Fourier analysis. and fractal dimensions. The estimations of dowel densities are given in terms of the classification of the input images ill five classes of densities (very low, low. moderate. high and very high). Three types of classifiers are used: neural (implemented according to the Kohonen model). Bayesian. and an approach based on fitting functions. The results obtained by these three classifiers. using the four texture measures. allowed the conclusion that, for the problem of crowd density estimation. texture analysis is very effective.

Amino acid, Antioxidant and Ion Profiles of Carpolobia lutea Leaf (Polygalaceae)

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

Anatomical characterization and chemical profile of Laguncularia racemosa (L.) Gaertn leaf blades, from impacted and non-impacted mangroves of the São Paulo Coast

Anatomical characterization and chemical profile of Laguncularia racemosa (L.) Gaertn leaf blades, from impacted and non-impacted mangroves of the São Paulo Coast. Several sources of environmental impact have caused great damage to the flora in mangroves. Therefore, this study aimed to analyze the anatomy and chemical composition of Laguncularia racemosa (L.) Gaertn leaf blades, from impacted (Municipality of Santos) and non-impacted mangroves (Municipality of Peruibe) of the São Paulo Coast. For the leaf anatomy studies, light microscopy and scanning electron microscopy (SEM) were used. For chemical analysis, high performance liquid chromatography (HPLC) was conducted. The biometry revealed leaf tissues of plants from impacted mangroves with a less thick epidermis and mesophyll and higher width of the central vascular beam. A smaller number of stomata and higher amounts of daises in these leaves were also observed. Results were confirmed by the Student t-test (alpha = 5%). The chemical profiles revealed a higher ammount of secondary metabolites in leaves from the impacted environment.

Leaf Structure and Taxonomy of Petunia and Calibrachoa (Solanaceae)

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Leaf heliotropism in Styrax camporum Pohl from the Brazilian cerrado: distinct gas exchange and leaf structure, but similar leaf temperature and water relations

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)