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Dario WurmD edited section_Reviewer_Comments_for_Authors__.tex
over 8 years ago
Commit id: 0691b7d9833e02e079dd029fc3845b924fff811f
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\textit{ord(i) is defined as the number of correct re-identifications at index i in the ordered list of all matches for a probe sample against all classes in the gallery. Since the re-identification classifier deals with each sample independently, when there are false positives the number of correct re-identifications is not affected. There simply are a greater number on incorrect re-identifications.}
\textit{We have enriched the respective parts of the text as follows:}
\textbf{\textit{This means that when there are False Positive (FP) probes, without a FP class, each FP contributes to the denominator of Equation 1 in the CMC calculation, but not to the numerator. Given the definition of ord(i), and since the re-identification classifier deals with each sample independently, then when there are false positives the number of correct re-identifications is not affected. There simply are a greater number on incorrect
re-identifications. Thus re-identifications, thus reducing every value of the CMC by the fraction of the amount of FPs relative to the total of probes. See Equation 2 below, for the mathematical representation of the original CMC equation when there are FPs:}}
\textbf{\textit{When there are Missed Detections (MDs), if on average, the samples missed are distributed proportionally to ord(i), then the CMC does not change. See Equation 4 for the mathematical representation of this.}}