一种视频目标跟踪方法

本发明涉及一种视频目标跟踪方法，解决现有跟踪算法在目标光照下跟踪精度和稳定性低，丢失目标的问题，包括1：获得图像M和目标；2：设定目标波门，若M为第一帧图像，则执行步骤3，反之，执行步骤6；3：在目标波门内，生成e个正样本图像块和d个负样本图像块；4：计算每个正样本图像块和负样本图像块的特征值，并获得模板特征向量；5：对贝叶斯分类器进行初始化后返回步骤1；6：绘制搜索框，在搜索框内选设定R个候选图像块，计算每个候选图像块的模板特征向量，利用贝叶斯分类器进行分类，输出下一帧图像的目标位置；若满足跟踪需求，则结束，反之，执行步骤7；7：计算目标位置的模板特征向量，对贝叶斯分类器更新后，返回步骤1。...

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Bibliographic Details
Format Patent
LanguageChinese
Published 11.07.2025
Subjects
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
PHYSICS
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Summary:本发明涉及一种视频目标跟踪方法，解决现有跟踪算法在目标光照下跟踪精度和稳定性低，丢失目标的问题，包括1：获得图像M和目标；2：设定目标波门，若M为第一帧图像，则执行步骤3，反之，执行步骤6；3：在目标波门内，生成e个正样本图像块和d个负样本图像块；4：计算每个正样本图像块和负样本图像块的特征值，并获得模板特征向量；5：对贝叶斯分类器进行初始化后返回步骤1；6：绘制搜索框，在搜索框内选设定R个候选图像块，计算每个候选图像块的模板特征向量，利用贝叶斯分类器进行分类，输出下一帧图像的目标位置；若满足跟踪需求，则结束，反之，执行步骤7；7：计算目标位置的模板特征向量，对贝叶斯分类器更新后，返回步骤1。 The invention relates to a video target tracking method, which solves the problems of low tracking precision and stability and target loss of the existing tracking algorithm under target illumination, and comprises the following steps: 1, obtaining an image M and a target; 2, setting a target gate, if M is a first frame of image, executing a step 3, otherwise, executing a step 6; 3, e positive sample image blocks and d negative sample image blocks are generated in the target wave gate; 4, calculating feature values of each positive sample image block and each negative sample image block, and obtaining template feature vectors; 5, initializing the Bayesian classifier and then returning to the step 1; 6, drawing a s
Bibliography:Application Number: CN202211358869