Multi-area real-time motion detection method based on monitoring video

A technology of real-time actions and detection methods, applied in the field of computer vision, can solve problems such as low efficiency

Active Publication Date: 2018-11-06
NORTHEASTERN UNIV
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AI Technical Summary

Problems solved by technology

However, the detection of the temporal dimension of actions is still achieved by a multi-scale sliding window on each track, making this method inefficient for longer video sequences

Method used

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  • Multi-area real-time motion detection method based on monitoring video
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  • Multi-area real-time motion detection method based on monitoring video

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Embodiment Construction

[0044] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0045] Such as Figure 1-Figure 5 As shown, a multi-region real-time motion detection method based on surveillance video has the following steps:

[0046] Model training phase:

[0047] A1. Obtain training data: a database of marked specific actions;

[0048] A2. Calculate the dense optical flow of the video sequence in the training data, ...

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Abstract

The invention discloses a multi-area real-time motion detection method based on a monitoring video. The method comprises a model training phase and a testing phase. The model training phase comprisesa step of acquiring training data and marking a database of specific actions, a step of calculating a dense optical flow of a video sequence in the training data, obtaining an optical flow sequence ofthe video sequence in the training data, and marking an optical flow image in the optical flow sequence, and a step of training a target detection model yolo v3 by using the video sequence and the optical flow sequence in the training data to obtain an RGB yolo v3 model and an optical flow yolo v3 model. According to the method, the spatiotemporal position detection of the specific action in themonitoring video can be achieved, and the real-time processing of the monitoring can be achieved.

Description

technical field [0001] The invention belongs to the field of computer vision, and in particular relates to a human motion detection system in a monitoring video scene. Background technique [0002] As the application of monitoring facilities becomes more and more popular, more and more monitoring-based technologies are applied. Action recognition, as one of the most valuable technologies, is mainly used in the interaction of human-machine equipment in indoor and factory environments, as well as in public environments. The security field is used for the detection and identification of specific dangerous actions. [0003] Most of the action recognition methods based on surveillance video mainly focus on the action recognition and classification tasks of the entire scene. Such videos are generally artificially processed video clips, and the video clips generally only contain one type of action, but this kind of video and Natural video clips are very different, and some scholar...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06T7/269
CPCG06T7/269G06V40/20
Inventor 陈东岳任方博王森贾同
Owner NORTHEASTERN UNIV
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