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METHOD AND APPARATUS FOR HIGH-CONFIDENCE PEOPLE CLASSIFICATION, CHANGE DETECTION, AND NUISANCE ALARM REJECTION BASED ON SHAPE CLASSIFIER USING 3D POINT CLOUD DATA
METHOD AND APPARATUS FOR HIGH-CONFIDENCE PEOPLE CLASSIFICATION, CHANGE DETECTION, AND NUISANCE ALARM REJECTION BASED ON SHAPE CLASSIFIER USING 3D POINT CLOUD DATA
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机译：使用3D点云数据，基于形状分类的高信心人分类，改变检测和滋扰报警抑制的方法和装置
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摘要
A detector may include processing circuitry configured to receive monitoring data associated with an environment being monitored, where the monitoring data includes a series of frames of three-dimensional point cloud information. The processing circuitry may be further configured to perform image segmentation on the monitoring data to generate segmented three-dimensional data associated with the environment, identify one or more objects in the environment based on subtracting background from the segmented three-dimensional data, convert data associated with the one or more objects from the segmented three-dimensional data into two-dimensional object data, and perform object classification on the two-dimensional object data.
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