Active target identification method based on digital watermark technology in H.264

Abstract

The invention discloses an active target identification method based on a digital watermark technology in H.264, and aims to solve the problems of high calculation complexity, low precision and the like of a target identification algorithm in an intelligent video monitoring system. Different digital watermarks are embedded into a target region in a code reconstruction frame of the current frame and used as unchanged characteristics of a target according to interframe forecast and code reconstruction characteristics of the H.264; different types of watermark information are extracted from a target region in an interframe forecast reference frame (a reconstruction frame of the last frame) of the next frame, so that the target can be identified; and then matched watermarks are embedded into a motion detection and partition result of the reconstruction frame for recycling until motion targets in a complete video sequence are identified. The active target identification method has the advantages of simplicity, high accuracy and instantaneity, and the objective quality of video codes is not influenced greatly.

Description

technical field [0001] The invention relates to a target recognition method in an intelligent video monitoring system, in particular to an active target recognition method based on digital watermark technology in H.264. Background technique [0002] The intelligent video surveillance system allows users to use security cameras to monitor and ensure the safety of various areas, while reducing labor costs and improving production efficiency. Intelligent video surveillance technology originated from computer vision technology. It analyzes video, extracts information from it, and discovers events of interest, so that it can replace or assist human surveillance in some occasions. The development of video compression technology has promoted the digitalization of video surveillance systems and saved a lot of storage space. The popularization of computer networks and the development of bandwidth technology have promoted the realization of metropolitan area network video surveillanc...

AI Technical Summary

Problems solved by technology

Since the complexity of the algorithm for extracting the target's own features is high and does not meet the requirements of real-time processing, and there is always a certain degree of error that affects the follow-up work, can we abandon the target's own features and add another significant feature, by extracting Such salient features are matched to achieve object recognition

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