Multi-target segmenting and tracking method based on depth image

Abstract

The invention discloses a multi-target segmenting and tracking method based on a depth image and belongs to the fields of image processing, mode identification, computer application and the like. The method comprises the following steps: collecting a depth image; updating background modeling; searching for a background; judging whether the background is detected for the first time, if so, performing target segmenting, and if not, performing target dynamic tracking; and judging whether data are inputted, if so, updating the background modeling again by taking new data, and if not, ending. The high-efficient target segmenting treatment and target dynamic tracking treatment are utilized to efficiently improve the reliability of target identifying and tracking, and preparation information is supplied to subsequent treatments, such as further image analysis, dynamic modeling, and three-dimensional man-machine interaction.

Description

technical field [0001] The invention relates to the fields of image processing, pattern recognition, automatic control and computer application, in particular to a multi-target segmentation and tracking method based on depth images. Background technique [0002] Image segmentation is a key step from image processing to image analysis, the preparatory stage for target tracking, and the basis for further image understanding. The so-called image segmentation refers to the technology and process of dividing the image into regions with different characteristics and extracting the target of interest. Image segmentation is widely used in almost all fields of image processing. For example, in remote sensing applications, segmentation between different cloud backgrounds, vegetation, roads, bridges, water bodies, etc.; in medical applications, brain MR image segmentation; in traffic image analysis, vehicles from the background Segmentation, segmentation of license plates, etc.; in t...

AI Technical Summary

Problems solved by technology

[0005] In order to solve the interference problems such as low resolution, high error rate, complex color image segmentation technology and noise in the tracking process during grayscale image segmentation, the present invention provides a multi-target segmentation and tracking method based on depth images, which improves the accuracy of image segmentation. Efficiency, and the segmentation effect is good, and at the same time, it realizes the dynamic tracking of the target and has high reliability, so it plays an important role in image processing and pattern recognition.

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