Abstract
With the development of intelligent theory of computer vision and the popularization of surveillance cameras, intelligent video analysis and surveillance technology has been widely used. The traditional video monitoring system will produce a large amount of video information in the application process, which is not conducive to the storage and reference of information, and it can not carry out real-time warning, and has poor robustness to the bad environment. In view of these disadvantages, this paper proposes an improved video enhancement and concentration method, which has a good effect in ensuring the video concentration ratio and the target loss rate, and can improve the shortcomings brought by manual reference. Aiming at the problem of real-time early warning, an intelligent video analysis method is proposed to realize the functions of event alarm and detection analysis. It is of great significance to improve the video monitoring management level of the substation and realize the unattended operation of the substation.
Highlights
Intelligent video analysis and video monitoring have been gradually integrated into various industries, especially in some places to ensure safe and stable operation, such as: unattended substation in power system [1].At present, the video monitoring system of the substation is mainly digital video monitoring system, which will generate a large amount of video data and occupy a large amount of network and storage resources in the process of operation; in the event of an accident or invasion, it is unable to generate automatic alarm and intelligent monitoring for early warning events directly, and it is unable to timely mobilize the relevant video, and in the later stage, it is necessary to manually find the required information from the video data, resulting in waste of human resources
The traditional video monitoring system in special weather conditions, lack of clarity leads to weak video analysis, easy to miss important information[2]
Intelligent video analysis technology can intelligently judge the target's behavior and track the target's track, so that it can timely alarm and take the initiative to prevent in case of abnormal conditions, and improve the timeliness of handling emergencies[4]
Summary
Intelligent video analysis and video monitoring have been gradually integrated into various industries, especially in some places to ensure safe and stable operation, such as: unattended substation in power system [1].At present, the video monitoring system of the substation is mainly digital video monitoring system, which will generate a large amount of video data and occupy a large amount of network and storage resources in the process of operation; in the event of an accident or invasion, it is unable to generate automatic alarm and intelligent monitoring for early warning events directly, and it is unable to timely mobilize the relevant video, and in the later stage, it is necessary to manually find the required information from the video data , resulting in waste of human resources. Through intelligent analysis of video content, video enhancement and concentration technology can monitor and extract targets in different scenes, mine effective information from massive video information, and greatly improve the practicability of video monitoring system[3]. Intelligent video analysis technology can intelligently judge the target's behavior and track the target's track, so that it can timely alarm and take the initiative to prevent in case of abnormal conditions, and improve the timeliness of handling emergencies[4]. An improved video enhancement and concentration method is proposed, which can quickly obtain the required information from the massive video data generated in the substation video monitoring system, this paper proposes an intelligent video analysis method for intelligent processing of monitoring video, which can realize the functions of early alarm, simple after event tracing and accountability, retrieval and intelligent analysis and monitoring
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