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发明授权
CN107566781B 视频监控方法和视频监控设备 有权

视频监控方法和视频监控设备
摘要：
本公开涉及视频监控方法和视频监控设备。视频监控方法包括：获取经由视频数据采集模块采集的视频数据；将视频数据的至少一帧输入至预先训练的第一神经网络，以确定至少一帧中每个像素点的对象数量信息；以及利用预先训练的第二神经网络执行如下操作中的至少一个：基于至少一帧中的对象数量信息执行平滑操作以修正对象数量信息；基于视频数据的采集场景的场景信息和至少一帧中的对象数量信息，确定至少一帧中每个像素点的对象密度信息；以及基于视频数据的采集场景的场景信息、至少一帧中的对象数量信息以及至少一帧与至少一帧后的待预测帧之间的关联信息，预测待预测帧中的每个像素点的对象密度信息。
摘要（英）：

This application provides a video monitoring method and device. The video monitoring method includes: obtaining video data; inputting at least one frame in the video data into a first neural network to determine object amount information of each pixel dot in the at least one frame; and executing at least one of the following operations by using a second neural network: performing a smoothing operation based on the object amount information in the at least one frame to rectify the object amount information; determining object density information of each pixel dot in the at least one frame based on scene information and the object amount information; predicting object density information of each pixel dot in a to-be-predicted frame next to the at least one frame based on the scene information, the object amount information, and association information between the at least one frame and the to-be-predicted frame.

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