Holographic video monitoring system and method for directional picture capture based on sound classification algorithm

Abstract

The invention provides a holographic video monitoring system and method for directional picture capture based on a sound classification algorithm. The system comprises a front end collection system, atransmission device, a central control platform and a display recording device; the front end collection system is configured to collect onsite audio data and video data and transmit the sane to thecentral control platform through the transmission device; the central control platform is configured to perform noise reduction processing and sound classification on the audio data through a supportvector machine identification algorithm of the Mel frequency cepstrum coefficient, perform segmentation extraction on the audio data required by the user, send the audio data required by the user andthe corresponding video data to the display recording device, and directionally capture and amplify a corresponding video picture by selecting the specific sound; and the display recording device is configured to synchronously play the monitoring data of the monitoring system in real time, call the monitoring data of any time period in real time, and play the corresponding video picture corresponding to the capture and amplification of the specific sound.

Description

technical field [0001] The present disclosure relates to a holographic video monitoring system and method for directional capturing of images based on a sound classification algorithm. Background technique [0002] At present, with the rapid development of computer technology and image processing technology, video surveillance is ubiquitous, ranging from small applications in a single family to large applications in various supermarkets, as well as snapshots of violations in the traffic field. Vast video surveillance network. However, a comprehensive analysis of the current road video surveillance systems and technologies is based on image transmission and storage. It is difficult to accurately denoise and classify sounds in sound extraction technology, which is not conducive to the real evidence collection of on-site images. Therefore, it is necessary to study a recognition technology to quickly denoise the sound and accurately identify the source of the sound. According t...

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Problems solved by technology

[0004] Comprehensive analysis, the video monitoring system involved in the above-mentioned patents, from the composition point of view, the front-end device uses the camera to collect data, the data is transmitted through wired or wireless in the middle, the data is processed by the computer in the background, and the data is displayed by the LED display or mobile phone. The main shortcomings are: first, the data collected by the front end only involves image data, and the audio data cannot be collected accurately, resulting in deviations in the judgment of video surveillance; second, the coordination of various components of the video surveillance system is relatively poor, and there is The missing phenomenon is not conducive to the restoration of the scene picture, and it is difficult to obtain real evidence

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