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The silhouette is a global feature that could be sensitive to occlusion.
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The incremental learning of PCA subspace representation method mainly aims at dealing with appearance changes caused by rotation, deformation, and scale variation, but it is sensitive to occlusion.
Even if model-based methods are fast and simple, they are sensitive to occlusion and require high-resolution images since the difficulties lie in detecting the specific facial features with high precision and accuracy.
Statistical shape models such as Active Contours have also been examined for human motion analysis [11], but they are sensitive to occlusions and require good initialization.
Since camera sensors are sensitive to occlusions, it is more challenging for UAVs to provide satisfactory sensing quality in geometrically complex environments, such as dense urban areas and mountainous terrains.
Be sensitive to this.
Be sensitive to them.
Be sensitive to contradictions.
Be sensitive to her feelings.
Be sensitive to your body.
Be sensitive to others' situations.
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