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There are other works in which the silhouette information is not used to recognize subjects but with different motivation.
Grest et al. [13] proposed a human motion tracking method using a combination of depth and silhouette information.
The individual clusters reveal high silhouette information with 0.71±0.05, 0.60±0.06, and 0.61±0.05 for the plastidic, cytosolic, and vacuolar compartment, respectively, with a cluster-solution average of 0.64±0.07 (all as mean ± SD).
When including the mitochondrial compartment the silhouette information of the cluster solution drops (0.5±0.2) with clusterwise values of 0.55±0.10, −0.01±0.10, 0.50±0.14, and 0.61±0.05 for the plastidic, mitochondrial, cytosolic, and vacuolar compartment, respectively (all as mean ± SD).
Average silhouette information was used to identify the number of clusters in the data with 1000 iterations for each k = {2, 3,..., 10}.
The optimal number of clusters (5 in this study) was decided by comparing the silhouette information of clustering with different clusters.
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Additionally, our dataset has an advantage over existing databases in terms of age variation (ranging from 2 to 90 years old), gender balance, and the silhouette quality and information correctness guaranteed by manual confirmation.
Silhouette quality and information correctness: Our dataset has relatively high-quality silhouette images because we manually checked each silhouette not only to ensure image quality, but also to exclude variations in walking conditions to enable a pure investigation of gait-based age estimation.
The absence of such information during the silhouette coefficient calculation potentially affects the linear correlation between this and F1 values.
Head region image features were extracted from the captured image sequences using the information from the silhouette images.
This paper proposes a biometric recognition system based on the information of the silhouette of the human body, which may be seen as a type of soft biometric trait.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com