Analyzing motion patterns in traffic videos can be exploited directly to generate high-level descriptions of the video contents. Such descriptions may further be employed in different traffic applications such as traffic phase detection and abnormal event detection. One of the most recent and successful unsupervised methods for complex traffic scene analysis is based on topic models. In this pa...

abstract solitary pulmonary nodule (spn) is explained as a separate, well-determined obscurity with the maximum size of 3cm which is enclosed by typical lung tissue and is not related to any other anomalies in the lung or adjacent lymph nodes. among imaging modalities mri has more benefits such as high spatial resolution and usage of nonionizing radiation, however, the efficacy of this imaging ...

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:...

We describe a framework for robot navigation that exploits the continuity of image sequences. Tracked visual features both guide the robot and provide predictive information about subsequent features to track. Our hypothesis is that image-based techniques will allow accurate motion without a precise geometric model of the world, while using predictive information will add speed and robustness. ...

The diversity of Trichoderma spp. was investigated in alkaline soils of pistachio orchards at different geographic areas in Kerman province, Iran. A total of 161 Trichoderma isolates were obtained and identified at the species level by their morphological characters and sequence analysis of their internal transcribed spacer (ITS) and tef1-α genomic regions. Totally, five species of Trichoderma ...

We present an exemplar-based object recognition system which is capable of on-line learning of representations of scenes and objects from image sequences. Local appearance features are used in a tracking framework to find ‘keyframes’ of the input sequence during learning. The representation of the stored sequences which are used for recognition of novel images consists only of the appearance fe...

The algorithmic generation of textual descriptions of image sequences requires conceptual knowledge. In our case, a stationary camera recorded image sequences of road traffic scenes. The necessary conceptual knowledge has been provided in the form of a so-called Situation Graph Tree (SGT). Other endeavors such as the generation of a synthetic image sequence from a textual description or the tra...