A method of image data extraction and compression for video object trajectory tracking content

Abstract

The invention discloses an image data extraction and compression method for video target track tracking content, and relates to the technical field of image and video processing. It includes the following steps: initialize the counter and assign the information of the first frame image of the target trajectory to the reference pacesetter; sequentially obtain the next frame image of the target trajectory; if the count of the counter is less than the given number of targets, it meets the loose similarity threshold condition The counter increments and outputs the current frame image; if the count of the counter is greater than or equal to the given number of targets, the similarity threshold condition and the time interval threshold condition are constrained, and if the constrained similarity threshold condition or time interval threshold condition is met, The counter increments and outputs the current frame image, and updates the reference pacesetter. The invention effectively extracts and compresses the image data based on the combination of multi-dimensional information of time, position and similarity change.

Description

An image data extraction and compression method for video target trajectory tracking content technical field The present invention relates to image, video processing technical field, relate in particular to a kind of figure of video target track tracking content Like data extraction and compression methods. Background technique In the field of video tracking analysis, in order to reduce the inconvenience brought by massive video data information, the video is interesting. The interesting target is detected, and then the detected target is effectively tracked and matched. Finally, the track is matched. The data is sorted out and saved, and according to the time of the data, the location, size, and target content information of the target are saved to the database for for later inquiries. [0003] In the target trajectory tracking matching results, there are still many frame targets in the target trajectory that is normally matched. Image data will eventually lead to...

AI Technical Summary

Problems solved by technology

[0003] In the target trajectory tracking matching results, there are still many frames of target image data in a normally matched target trajectory, which eventually leads to a large amount of data, which is not conducive to subsequent data query and statistical analysis

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