摘要
基于分类模型的目标跟踪算法采用分类模型实现对多目标的跟踪。在传统算法中目标跟踪的对象是每个传感器的实时采样,而在分类模型中将传感器采样根据分类规则进行分类。然后将类的特征作为一个新的采样为下一层的模型提供输入,可以减少计算的复杂度。该模型是一个可扩展模型,可以为分类器设计不同的算法对模型进行扩展。模型自身采用低耦合的层次化设计,每一层均可以采用不同的分类器,这样可以充分利用各种分类算法的优点。
The algorithm of target tracking is based on the classification model.In this algorithm the target was not only the samples from the sensors.Samples were classified by rules which were defined by the model.In every class a special value was calculated which was considered as a new sample and it was the input of the next level.The classifiers can be designed with different algorithms and the model can be combined with different classifiers.
出处
《计算机与数字工程》
2011年第4期18-20,共3页
Computer & Digital Engineering
基金
武汉理工大学自主创新研究基金(编号:2010-ZY-JS-014)资助
关键词
分类
目标跟踪
滤波
机动目标
跟踪模型
classification
target tracking
filter
maneuvering target
tracking model
