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首页> 外文会议>International Conference on Computational Science and Its Applications(ICCSA 2006) pt.1; 20060508-11; Glasgow(GB) >Implementation of Embedded System for Intelligent Image Recognition and Processing
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Implementation of Embedded System for Intelligent Image Recognition and Processing

机译：嵌入式系统智能图像识别与处理的实现

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摘要

The main challenges for image recognition in an embedded system design are the uncertainty of the mobile user's location and the limitation of measurement algorithm. This paper demonstrates an implementation of an embedded system which is used for vehicle tracking and license plate recognition. The image of the plate is scanned by the camera attached to a mobile device and then encoded data is transmitted along with the location information to a server that is located in a remote place through a wireless communication network. In order to track a user's location, the image recognition is estimated with spatial and attribute information receiving priority. In this paper, we present an embedded system for intelligent interface between vehicle and users, employing spatial relative distance algorithm. Comparing the image and location information provides comparable results, and confirms that the embedded system is fairly evaluated by the intelligent image recognition technique.
机译：嵌入式系统设计中图像识别的主要挑战是移动用户位置的不确定性和测量算法的局限性。本文演示了用于车辆跟踪和车牌识别的嵌入式系统的实现。板的图像由连接到移动设备的相机扫描，然后将编码的数据与位置信息一起通过无线通信网络传输到位于远程位置的服务器。为了跟踪用户的位置，利用空间和属性信息接收优先级来估计图像识别。在本文中，我们提出了一种采用空间相对距离算法的车辆与用户之间智能接口的嵌入式系统。比较图像和位置信息可提供可比较的结果，并确认嵌入式系统已通过智能图像识别技术进行了合理评估。

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