Two Statistical Measures of Similarity for Object Association and Tracking in Color Image Sequences

H. L. Kennedy
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引用次数: 1

Abstract

Two statistical measures of similarity, for data association and tracking moving objects in sequences of color images, are derived and their performance is compared with normalized cross-correlation. Both methods use an F-distributed test statistic in a hypothesis test, which permits association thresholds to be set to give the desired (theoretical) false-association rate. One of the methods matches the performance of normalized cross-correlation, in the test data used, and is computationally less expensive.
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彩色图像序列中目标关联与跟踪的两种相似度统计方法
导出了用于彩色图像序列中数据关联和运动目标跟踪的两种统计相似性度量,并将其性能与归一化互相关进行了比较。这两种方法都在假设检验中使用f分布检验统计量,这允许设置关联阈值来给出期望的(理论的)假关联率。在使用的测试数据中,其中一种方法与归一化互相关的性能相匹配,并且计算成本更低。
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