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Tracking Target Identification Model Based on Multiple Algorithms

Tracking Target Identification Model Based on Multiple Algorithms
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摘要 In view of current situation of bad data synchronization, image blurring and tracking station stability in tracking target identification, a kind of tracking target identification model based on multiple algorithms was put forward, firstly establishing the image degradation model, using the wavelet algorithm for image preprocessing, doing image edge segmentation by using Robert algorithm after pretreatment, then using the maximum variance threshold method for image threshold segmentation, then extracting target features from the segmented image, and finally using the ABS algorithm to finish target tracking. Experiments proved the proposed model practical and effective.
作者 Ma Ding
机构地区 Jilin University
出处 《International Journal of Technology Management》 2013年第2期68-72,共5页 国际技术管理
关键词 Robert algorithm image degradation largest variance threshold method ABS algorithm target tracking 小波算法 目标识别 跟踪站 模型基 图像阈值分割 图像预处理 图像模糊 ABS算法
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