Multi-resolution observation system for automatically tracking target object in real time

Abstract

The invention discloses a multi-resolution observation system for automatically tracking a target object in real time. The system comprises an image sensor, a multi-resolution processing device and a video observation device; the image sensor comprises an image acquisition unit; the multi-resolution processing device comprises an image receiving unit, a multi-resolution processing unit, a focus data monitoring unit and a target positioning unit; the video observation unit comprises an image display module, an interaction unit and a behavior monitoring module; the multi-resolution processing unit comprises an image abbreviation processing module, an image data transmission module and a focus data interception module. By using the image compression technology, the video image thumbnail is transmitted for the selection of a user, after the user determines the focus intention, a high-definition image in the range is transmitted to the video observation device to display in single screen or multi-screen, the user can acquire or observe the global thumbnail and the focus picture data in the video image in real time, and the focus can be switched in real time; and the global and focus real-time transmission demands are satisfied at the same time, and the new object can be tracked in real time.

Description

technical field [0001] The invention relates to the technical field of video transmission and observation, in particular to a multi-resolution observation system for automatically tracking a target object in real time. Background technique [0002] At present, some smart devices, such as robots, drones, video surveillance equipment, etc., need to recognize real scenes or objects in real time during use, so cameras are needed to obtain the most direct scene video data. However, for the use of video data For terminals (such as robots, drones, intelligent software or people, etc.), sometimes the focus is not all objects in the captured video. In the prior art, the data of all objects captured by the camera is generally It is directly transmitted to the observation system in high-definition form for viewing. This form of transmission has the following disadvantages: [0003] 1. Video image transmission has high hardware requirements, high bandwidth cost, large data volume, and...

AI Technical Summary

Problems solved by technology

[0003] 1. Video image transmission has high hardware requirements, high bandwidth cost, large data volume, and easy delay;

[0004] 2. All the captured video object data are transmitted to the observation terminal in high-definition, but the terminal is not fully used, which causes a certain degree of waste for video resources and also imposes a certain burden on later data users;

[0005] 3. The resolution of existing cameras will become higher and higher, and the memory occupied by the captured video images will also increase, resulting in higher and higher transmission costs and post-processing costs;

[0006] 4. The video image displayed by the transmission is the actual overall recorded video image, and it is impossible to accurately track a certain target object, which is inconvenient to use and not powerful enough

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