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    • 6. 发明公开
    • 추적기의 강탈 회피를 위한 벌점 그래프 기반의 다중 영상 객체 추적 방법
    • 基于用于避免跟踪器重叠问题的罚款图的多目标跟踪
    • KR1020130013416A
    • 2013-02-06
    • KR1020110075049
    • 2011-07-28
    • 전남대학교산학협력단
    • 오치민김종구서융호이칠우
    • G06T7/20
    • G06K9/3241G06T7/277G06T2207/10016
    • PURPOSE: A multi image object tracking program based on a penalty point graph for a hijacking problem of a tracker is provided to add a penalty point, which is in inverse proportion to a distance of a neighbor image object, to a weighted value of each particle, thereby preventing a hijacking problem for object tracking. CONSTITUTION: A multi image object tracking program extracts an image object from a current image. The multi image object tracking program obtains location information of the extracted image object(S2000). The multi image object tracking program labels a new object by a new identifier(S3100). The multi image object tracking program generates a penalty point graph(S4000). The multi image object tracking program predicts a particle group of the each image object(S5000). The multi image object tracking program calculates particle weighted values of predicted particles(S6000). The multi image object tracking program assigns a penalty point to the weighted values(S7000). [Reference numerals] (AA) Start; (BB) End; (S1000) Inputting an image; (S2000) Extracting an image object and obtaining location information; (S3000) Location information; (S3100) Adding to a tracing list; (S4000) Generating a penalty point graph; (S5000) Predicting the particle group of each image object; (S6000) Calculating particle weighted values; (S7000) Applying a penalty point to the particle weighted values; (S8000) Removing particles with '0' weighted values; (S9000) Updating the location of each image object and the penalty point graph; (S9100) Resampling the particle group; (S9200) Is a next image input ?
    • 目的:提供一种基于跟踪器劫持问题的惩罚点图的多图像对象跟踪程序,以将与邻近图像对象的距离成反比的惩罚点与每个粒子的加权值相加 ,从而防止对象跟踪的劫持问题。 构成:多图像对象跟踪程序从当前图像中提取图像对象。 多图像对象跟踪程序获取提取的图像对象的位置信息(S2000)。 多图像对象跟踪程序通过新的标识符标记新对象(S3100)。 多图像对象跟踪程序生成罚点图(S4000)。 多图像对象跟踪程序预测每个图像对象的粒子群(S5000)。 多图像对象跟踪程序计算预测粒子的粒子加权值(S6000)。 多图像对象跟踪程序将惩罚点分配给加权值(S7000)。 (附图标记)(AA)开始; (BB)结束; (S1000)输入图像; (S2000)提取图像对象并获取位置信息; (S3000)位置信息; (S3100)添加到跟踪列表中; (S4000)生成罚点图; (S5000)预测每个图像对象的粒子群; (S6000)计算粒子加权值; (S7000)对粒子加权值应用罚点; (S8000)去除“0”加权值的颗粒; (S9000)更新每个图像对象的位置和罚点图; (S9100)重新采样粒子群; (S9200)是下一张图像输入吗?