基于多特征融合的飞机跟踪算法
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摘要
针对基于单特征不能准确识别复杂环境下空域目标问题,利用偏最小二乘法(PLS)预处理飞机图像特征,通过变量投影重要性分析法(VIP)选取有效图像特征,并将有效特征融合到粒子滤波算法中,实现了颜色与形状特征融合的粒子滤波跟踪算法。该方法在雾霾和遮挡情况下的跟踪结果准确,且跟踪速度得到提高。
Under complex environment about the detetcing and tracking of aircraft,it is impossible to track target accurately by only a feature. The partial least square(PLS) method was introduced to preprocess images of features,the VIP was applied to select valid images of features,and the effective features are integrated into the particle filter algorithm To achieve a particle filter tracking algorithm color and shape feature fusion. The experimental results show that the method is accurate in tracking results under the environmental changes such as fog and occlusion, and also verifies the improvement of tracking speed.
Under complex environment about the detetcing and tracking of aircraft,it is impossible to track target accurately by only a feature. The partial least square(PLS) method was introduced to preprocess images of features,the VIP was applied to select valid images of features,and the effective features are integrated into the particle filter algorithm To achieve a particle filter tracking algorithm color and shape feature fusion. The experimental results show that the method is accurate in tracking results under the environmental changes such as fog and occlusion, and also verifies the improvement of tracking speed.
引文
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