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    • 4. 发明申请
    • METHODS AND APPARATUS TO IMPROVE DETECTION AND FALSE ALARM RATE OVER IMAGE SEGMENTATION
    • 改进图像分割检测和错误报警率的方法和设备
    • US20170032534A1
    • 2017-02-02
    • US14810989
    • 2015-07-28
    • The Nielsen Company (US), LLC
    • Jonathan SullivanBrian SchillerAlejandro TerrazasWei XieMichael Allen Bivins
    • G06T7/00
    • G06T7/231G06T7/12G06T7/143G06T7/74G06T2207/30242
    • Methods, apparatus, systems and articles of manufacture are disclosed herein. An example method to improve object detection and false alarm rate over image segmentation includes overlaying a first object of a first image onto a second image. A first score based on a first chamfer distance between first edges of the first object and second edges in the second image is determined. A second score corresponding to a second chamfer distance between the second edges and a mathematical representation of a plurality of shapes is determined, the second score representing a similarity between the second edges and the plurality of shapes observed simultaneously. A normalized score is determined by normalizing the first score based on the second score. A presence of the second object in the second image matching the first object is detected based on whether the normalized score satisfies a threshold score.
    • 本文公开了方法,装置,系统和制品。 用于改善图像分割上的物体检测和误报率的示例性方法包括将第一图像的第一对象叠加到第二图像上。 确定基于第一物体的第一边缘与第二图像中的第二边缘之间的第一倒角距离的第一刻痕。 确定对应于第二边缘之间的第二倒角距离和多个形状的数学表示的第二分数,第二分数表示第二边缘和同时观察到的多个形状之间的相似度。 通过基于第二分数归一化第一分数来确定归一化分数。 基于归一化分数是否满足阈值得分来检测与第一对象匹配的第二图像中的第二对象的存在。