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An Adaptive Multi-Projection Metric Learning for Person Re-Identification Across Non-Overlapping Cameras

机译:跨非重叠摄像机的人员重新识别的自适应多投影度量学习

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摘要

Person re-identification is one of the most important and challenging problems in video analytics systems; it aims to match people across non-overlapping camera views. For person re-identification, metric learning is introduced to improve the performance
机译:人员重新识别是视频分析系统中最重要和最具挑战性的问题之一;它的目的是在不重叠的摄影机视图中匹配人物。为了重新识别人,引入了度量学习以提高性能

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