In this paper, the problem of non-rigid objects detection in a non controlled urban environment, i.e. without any restriction concerning the scene features, is discussed. We present a speciic motion detection algorithm used to detect objects in the eld of view of a xed camera, such as pedestrians, vehicles, buses,... The proposed real-time motion detection algorithm is based on the construction...

One component of a model by Nolen-Hoeksema and Girgus, who propose that risk factors for adolescent depression are more common in girls than in boys during childhood, was tested with 85 low-income, urban, African American and Latino kindergarten through fourth grade children who completed inventories of depression, stress, attributional style, gender role, and body image. Endorsing two of three...

The simulation of SAR images provides valuable information used in many fields such as mission planning or the design of feature extraction algorithms. Simulation is in general a trade-off between achievement of approximation to reality as close as possible and minimization of computational load respectively processing time. For real-time application, a fast but suboptimal approach might be opt...

The capacity of automatically modeling photographic composition is valuable for many real-world machine vision applications such as digital photography, image retrieval, image understanding, and image aesthetics assessment. The triangle technique is among those indispensable composition methods on which professional photographers often rely. This paper proposes a system that can identify promin...

This paper presents a vision-based color segmentation algorithm suitable for urban environments that separates an image into areas of drivable and non-drivable terrain. Assuming that a part of the image is known to be drivable terrain, other parts of the image are classified by comparing the Euclidean distance of each pixel’s color to the mean colors of the drivable area in real-time. Moving th...

In this paper a general fuzzy approach for segmentation-based classification is proposed. Traditional segmentation techniques focus on partitioning imagery into image-objects with well-defined boundaries. Instead, the proposed methodology aims to produce and analyze fuzzy image-regions expressing degrees of membership to different target classes. This approach, called Fuzzy Image-Regions Method...

The paper presents an approach for detecting vehicles in urban traffic scenes by means of rule-based reasoning on visual data. The strength of the approach is its formal separation between the low-level image processing modules (used for extracting visual data under various illumination conditions) and the high-level module, which provides a general-purpose knowledge-based framework for trackin...

Buildings are considered as significant part in the cities, which plays main role in organization and arrangement of city appearance, which is affects image of that building facades, as an connective between inner and outer space, have a main role in city image and they are classified as rich image and poor image by people evaluation which related to visual architectural and urban elements in b...

the aim of this paper is investigate the social sustainability of the bazaar according to viewpoint of citizens as the main owners. what factors are the main reasons for back to this place in the image of people. bazaar is not only a shopping center like modern commercial center in the city, but as one of the oldest urban spaces which is also active today, has an important role in shaping urban...

Environmental quality is an abstract concept resulting from both human and natural factors operating at different spatial scales. In urban areas the local scale is dominated by individual buildings, streets and trees, but regional scale influences may include the whole city and beyond. This paper demonstrates the ability of current satellite-based sensing systems to depict parameters of urban e...