标题: 影像追踪及其在交通资讯估测的应用
Image Tracking and Its Application to Traffic Parameter Estimation
作者: 曾舜璋
Shung-Tsang Tseng
宋開泰
Kai-Tai Song
電控工程研究所
关键字: 影像追踪;主动式轮廓模型;交通资讯估测;image tracking;active contour model,;Traffic Parameter
公开日期: 2000
摘要: 本篇论文以主动式轮廓模型为基础,发展出影像追踪技术并应用在交通资讯之估测。论文中发展出以主动轮廓模型求得车辆轮廓位置之影像量测方法,进而搭配卡曼滤波器进行追踪车辆轮廓,由此可求得交通参数如车速、车辆数目等资讯。为了解决追踪初始化的问题,本文运用轮廓成长的概念,设计一初始追踪机制。最后以V8所拍摄路况影像来验证影像追踪的效果。
This thesis is mainly about image tracking techniques based on active contour model, and its application in traffic parameter estimation. The thesis introduces a algorithm of image measurement developed from active contour model to image to get the vehicle location. Further coordinating with Kalman Filter to tracking the vehicle location, traffic parameters like speed and numbers of vehicles would be thus acquired. The thesis utilizes the concept of contour growing to design an initializing tracking mechanism in order to solve the problems that could have occurred during the initialization of the tracking process. V8 visual images of traffic will be used to get the result of image tracking.
URI: http://140.113.39.130/cdrfb3/record/nctu/#NT890591064
http://hdl.handle.net/11536/67833
显示于类别:Thesis