Multi-target segmenting and tracking method based on depth image

A depth image, multi-frame depth image technology, applied in pattern recognition, image processing, automatic control and computer application fields, can solve the problems of complex color image segmentation technology, high error rate, noise interference, etc., to achieve superior segmentation effect, segmentation Fast, fast processing effects

Active Publication Date: 2012-07-25
INST OF AUTOMATION CHINESE ACAD OF SCI
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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 ...

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  • Multi-target segmenting and tracking method based on depth image
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  • Multi-target segmenting and tracking method based on depth image

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Embodiment Construction

[0025] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be described in further detail below in conjunction with specific embodiments and with reference to the accompanying drawings.

[0026] The invention is based on the depth data continuity criterion of the depth image, performs multi-target segmentation on the acquired depth image and can dynamically track the target of interest.

[0027] figure 1 It is a flow chart of the multi-target segmentation and tracking method based on the depth image proposed by the present invention, and the multi-target segmentation and tracking method based on the depth image specifically includes the following steps:

[0028] Step 1, collect multiple frames of depth images.

[0029] The multiple frames of depth images are N depth images acquired by the sensor on different moving objects of interest under the premise of the same viewing angle, where N is a positive inte...

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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...

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Application Information

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IPC IPC(8): G06T7/00G06T7/20G06K9/00G06K9/46
CPCG06T7/20G06T7/0081G06T7/2053G06T7/00G06T7/2006G06K9/46G06T2207/20144G06K9/00G06K9/3241G06K9/00208G06T7/11G06T7/254G06T7/194G06V20/647G06V10/255
Inventor 黄向生徐波
Owner INST OF AUTOMATION CHINESE ACAD OF SCI
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