Video analysis adaptive frame skipping method

A video analysis and self-adaptive technology, applied in the field of video analysis, can solve the problems of high computational overhead for target tracking, achieve the effects of reducing system resource consumption, occupying less system memory, and speeding up tracking efficiency

Pending Publication Date: 2022-07-29
ZHEJIANG UNIV OF TECH
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Problems solved by technology

[0007] In order to solve the problem of high computational overhead of target tracking in the video analysis system, the present invention provides an adaptive frame skipping method for video analysis

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  • Video analysis adaptive frame skipping method
  • Video analysis adaptive frame skipping method

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Embodiment Construction

[0054] The present invention will be further described below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention, but not to limit the present invention.

[0055] The purpose of the present invention is to solve the problem of excessive computer resource consumption caused by the real-time detection and tracking of moving objects by the video analysis system. The present invention firstly performs state prediction on the moving objects, data fusion is performed between the predicted value and the system measurement value, and then according to the obtained estimated value Perform the calculation of the maximum number of skipped frames, and finally take the frame skipping operation for the moving target.

[0056] An adaptive frame skipping method for video analysis, the specific steps are as follows:

[0057] Step 1: Denote the video to be analyzed as V,...

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Abstract

The invention relates to the technical field of video analysis, and particularly discloses a video analysis self-adaptive frame skipping method, which comprises the following steps: firstly, collecting related videos, initializing a state matrix, a measurement matrix and noise parameters, then performing next frame position prediction on a moving target in the video by using the algorithm, and if a detection result does not exceed a detection range, executing the next frame position prediction; and if so, implementing a self-adaptive frame skipping measure. According to the invention, adaptive frame skipping ranges can be set for different moving targets, adaptive frame skipping operation is carried out on moving targets which are static or move slowly, system resource consumption is reduced, and real-time detection and tracking efficiency is accelerated.

Description

technical field [0001] The invention relates to the technical field of video analysis, in particular to an adaptive frame skipping method for video analysis, Background technique [0002] Video analysis systems are widely used in various life scenarios, such as parking lots, intersections, high-speed toll stations, etc., to detect and track moving objects in videos through digital image processing, pattern recognition, machine learning, and deep learning. These identification systems can improve management efficiency and reduce labor costs. [0003] For the video analysis system, real-time detection and tracking of moving objects is required. When a large number of moving objects appear in the picture or are in a stationary state, all moving objects need to be detected and tracked, which will cause a lot of computer resource consumption. [0004] In order to avoid excessive computer resource consumption caused by repeated tracking and detection of redundant moving targets, ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06V20/40G06V10/30
Inventor 高飞周禹卢书芳翁立波
Owner ZHEJIANG UNIV OF TECH
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