| 期刊全称 | Applied Soft Computing Technologies: The Challenge of Complexity | | 影响因子2023 | Ajith Abraham,Bernard de Baets,Bertram Nickolay | | 视频video | | | 发行地址 | Latest in Applications of Soft Computing.Proceedings of the 9th Online World Conference on Soft Computing in Industrial Application, held on the world wide web | | 学科分类 | Advances in Intelligent and Soft Computing | | 图书封面 |  | | 影响因子 | SVMs have emerged as very successful pattern recognition methods in recent years [16]. SVMs have yielded superior performance in various applications such as; text categorization [15], and face detection [12], content-based image retrieval [6], and learning image similarity [4]. The motivation here is detection of suspicious bags in a security situation. The usual method for bomb personnel is to blow up a suspicious bag, and any explosives contained therein. However, if the bag contains chemical, biological or radiological canisters, this may lead to disastrous results. Furthermore, the “bl- up” method also destroys important clues such as fingerprints, type of explosive, detonators and other signatures of importance for forensic analysis. Extraction of the bag contents using telerobotics avoids these problems [8]. In a telerobotic system, it is advantageous to automate bag classification which is coupled to robotic tactics such as shaking out of the bags contents. For cooperative hum- robot interaction, in situations when autonomous capabilities fail, a human may be called in to distinguish the bag type. Here we focus on the autonomous operation of such a telerobotic system. In th | | Pindex | Conference proceedings 2006 |
The information of publication is updating
|
|
发表于 2025-3-21 18:40:16
