درخت حوزه‌های تخصصی

Human Identification has been widely implemented to enhance the efficiency of surveillance systems, however, systems based on common CCTV (closed-circuit television) cameras are mostly incompatible with the advanced identification algorithms which aim to extract the facial features or speech of an individual for identification. Gait (i.e., an individual’s unique walking pattern/style) is a leading exponent when compared to first-generation biometric modalities as it is unobtrusive (i.e., it requires no contact with the individual), hence proving gait to be an optimal solution to human identification at a distance. This paper proposes an automatic identification system that analyzes gait to identify humans at a distance and predicts the strength of the match (i.e., probability of the match being positive) between two gait profiles. This is achieved by incorporating computer vision, digital image processing, vectorization, artificial intelligence, and multi-threading. The proposed model extracts gait profiles (from low-resolution camera feeds) by breaking down the complete gait cycle into four quarter-cycles using the variations in the width of the region-of-interest and then saves the gait profile in the form of four distinct projections (i.e., vectors) of length 20 units each, thus, summing up to 80 features for each individual’s gait profile. The focus of this study revolved around the speed-accuracy tradeoff of the proposed model where, with a limited dataset and training, the model runs at a speed of 30Hz and yields 85% accurate results on average. A Receiver Operating Characteristic Curve (ROC) is obtained for comparison of the proposed model with other machine learning models to better understand the efficiency of the system

The present paper deals with the historical overview and the reception of William Shakespeare’s Sonnets in contemporary Iran. The authors examine the chronology of Persian translations of Shakespeare’s Sonnets (both scattered and book-length ones) during a century which is a considerable period of time in the examination of the reception of any author in another culture. As poetry is not the most popular genre in Persian translation, the Persian translations of William Shakespeare’s Sonnets suffered from a lot of fluctuations. It was in the latter part of the nineteenth century, a turning-point in the history of the country, that Shakespeare was introduced into Iranian audience for the first time. It started with scattered translations and ended in book-length ones. This study indicates early Persian interest in Shakespeare’s Sonnets which was followed by a lull. The reason behind it was two-fold: the translation of foreign poetry was dominated by French and Russian languages, and the rich tradition of Persian poetry does not feel the need to translate foreign poetry. The reception of Shakespeare’s Sonnets was followed by renewed interest in 1998-2017 and finally book-length translations began to thrive. All in all, Shakespeare’s Sonnets did not have a great influence on Persian poetry, as it was expected.