منابع مشابه
Distinguishing Abandoned and Removed Objects
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متن کاملIdentifying Abandoned, Moved and Removed Objects in Automated Surveillance Systems
This project is concerned with the classification of long term changes in surveillance scenes, known as static foreground. There has been little work related to the classification of static foreground in surveillance despite its potential role in automatic identification of abandoned bombs and theft. In this project, a thorough literature review of previous techniques was carried out. It was fo...
متن کاملRemoved preferences
In formalizing a ‘veil of ignorance’ type procedure, this paper considers how an agent’s preferences over a set of alternatives change as he is placed at an increasing ‘distance’ from the consequences of his choices. A definition for such ‘removed preferences’ is presented and its properties studied. As an application, it is demonstrated that decreasingly impatient agents are ‘essentially’ expo...
متن کاملReal-Time Detection of Abandoned and Removed Objects in Complex Environments
We present a new framework to robustly and efficiently detect abandoned and removed objects in complex environments for real-time video surveillance. In our system, the background is modeled by a mixture of Gaussians. Similar to Tian et al. [18], this mixture model is employed to detect the static foreground regions (i.e., static blobs potentially corresponding to abandoned or removed objects) ...
متن کاملKohonen Self Organizing for Automatic Identification of Cartographic Objects
Automatic identification and localization of cartographic objects in aerial and satellite images have gained increasing attention in recent years in digital photogrammetry and remote sensing. Although the automatic extraction of man made objects in essence is still an unresolved issue, the man made objects can be extracted from aerial photos and satellite images. Recently, the high-resolution s...
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ژورنال
عنوان ژورنال: Migration and Society
سال: 2020
ISSN: 2574-1306,2574-1314
DOI: 10.3167/arms.2020.030125