introduction: we hypothesized that inappropriate attention during the period of abstinence in individuals with substance use disorder can result in an inadequate perception of emotion and unsuitable reaction to emotional scenes. the main aim of this research was to evaluate the attentional bias towards emotional images in former substance abusers and compare it to healthy adults. methods: paire...

The spike activity of single neurons of the primary visual cortex (V1) becomes more selective and reliable in response to wide-field natural scenes compared to smaller stimuli confined to the classical receptive field (RF). However, it is largely unknown what aspects of natural scenes increase the selectivity of V1 neurons. One hypothesis is that modulation by surround interaction is highly sen...

Theories on visual perception agree that visual recognition begins with global analysis and ends with detailed analysis. Different results from neurophysiological, computational, and behavioral studies all indicate that the totality of visual information is not immediately conveyed, but that information analysis follows a predominantly coarse-to-fine processing sequence (low spatial frequencies...

This paper presents algorithms for vision-based detection and classification of vehicles in monocular image sequences of traffic scenes recorded by a stationary camera. Processing is done at three levels: raw images, region level and vehicle level. Vehicles are modeled as rectangular patches with certain dynamic behavior. The proposed method is based on the establishment of correspondences betw...

dirofilaria immitis is an important filarial nematode in dogs. in this study, age and sex distribution of this zoonotic nematode among dogs were investigated in northwest of iran in meshkin-shahr city. molecular characteristics of the isolates, based on cytochrome oxidase subunit 1 (cox1) gene were compared to the isolates from other areas of the world.blood samples were collected from 91 dogs ...

This paper presents a dataset that can be used for testing and evaluation of computer vision-based algorithms for 3D reconstruction and 3D person tracking. Additional possible uses include the building of 3D human head models and the production of stereoscopic sequences. A number of different scenes are included in the dataset. They are mostly single-subject scenes captured with two different l...

This work addresses multi-class segmentation of indoor scenes with RGB-D inputs. While this area of research has gained much attention recently, most works still rely on hand-crafted features. In contrast, we apply a multiscale convolutional network to learn features directly from the images and the depth information. We obtain state-of-the-art on the NYU-v2 depth dataset with an accuracy of 64...

Automatic video surveillance-based security is one of the most dynamically developing segment of the security industry. There has been a large progress of related vision hardware in the recent years, however, methods used to detect and monitor moving objects still lack the robustness to handle specific events occurring in complex scenes. In this paper we propose an algorithm to resolve occlusio...