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自动经纬仪跟踪测量中运动目标的跟踪算法设计毕业论文
Abstract
Automatic theodolites are widely used in aviation, military, and life. With the deve-
lopment of automatic theodolite, cost-effective automatic theodolite, and automatic
theodolite for a specific area become the focus of study. In this paper, aim to automatic
theodolite used to track weather balloon, design and experiment the image processing
algorithms of automatic tracking system in automatic theodolite. The main aspects are
following:
Firstly, exploit the real-time capture system of video images. Analyze several
software proposals of the video capture , in order to reuse the most of programs, and to
reduce the difficulty of exploitation ,the subject adopted an approach of the video capture
program based on VFW. Achieve real-time image capture in VC6.0 platform, and make
image can be real-time processed by using the callback function.
Secondly, based on analysis of characteristics of the tracking goal and the background,
the whole system is divided into four states: the state of searching and capturing, tracking
state, memory tracking state and the state of human intervention. Design the automatic
detection and recognition algorithm for each state. The paper mainly design and
experiment the detection and recognition algorithm in the state of searching and capturing
and in the tracking state. In the state of searching and capturing, combine
background-difference algorithm and determining the compactness of subjects to detect
and recognize the target. In the tracking state, use gray template matching to detect and
recognize the target, furthermore, design heart-shaped region template for the close
tracking and the whole target template for the long-distance t
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