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Semi-automatic image annotation sample generating method based on target tracking

A target tracking and image labeling technology, applied in the field of image processing, can solve the problem of only one image in the object, etc., to achieve the effect of less labor consumption

Active Publication Date: 2014-02-05
NANJING UNIV
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Problems solved by technology

[0003] Purpose of the invention: In view of the defect that the traditional manual labeling method can only label the object area in one image at a time, the present invention provides a semi-automatic image labeling sample generation method based on object tracking, so that the image can be generated with less human intervention Get More Annotated Image Samples

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  • Semi-automatic image annotation sample generating method based on target tracking
  • Semi-automatic image annotation sample generating method based on target tracking

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Embodiment Construction

[0024] Below in conjunction with specific embodiment, further illustrate the present invention, should be understood that these embodiments are only used to illustrate the present invention and are not intended to limit the scope of the present invention, after having read the present invention, those skilled in the art will understand various equivalent forms of the present invention All modifications fall within the scope defined by the appended claims of the present application.

[0025] A semi-automatic image annotation sample generation method based on target tracking, the detailed process is as follows:

[0026] Target tracking process:

[0027] (1) Given a video with a resolution of N×N, calculate the gradient for the initial frame of the video, and manually mark out the H×W rectangular object area. The center coordinates of the rectangular object area are (m 0 ,n 0 ), as the initial positive sample x 0 , H and W are the height and width of the image window to be tra...

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Abstract

The invention discloses a semi-automatic image annotation sample generating method based on target tracking. The method comprises processes of target tracking and semi-automatic annotation. A serial of samples are generated through a target tracking mechanism, a template learning mechanism is designed for tracking and detecting target areas, detection on videos or images is performed by means of learned templates, manual annotation is utilized to help to perform determination, and therefore, annotation samples are generated. The semi-automatic image annotation sample generating method based on the target tracking has the advantages of being capable of obtaining a large amount of image annotation samples by means of less labor consumption.

Description

technical field [0001] The invention relates to a method for generating semi-automatic image annotation samples based on target tracking, and belongs to the technical field of image processing. Background technique [0002] The goal of image annotation is to establish the correspondence between image regions and annotated keywords. Image annotation can solve the "semantic gap" problem in image retrieval to a certain extent by establishing the mapping relationship between low-level visual features and high-level semantics. Image annotation can be divided into two categories: manual annotation and automatic annotation. Manual image annotation is the most direct and effective way, but it is also a very time-consuming and labor-intensive task. With the development of the Internet and digital image technology, image data has grown massively. The traditional manual labeling method can only label the object area in one image at a time, and manual labeling is more and more time-co...

Claims

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Application Information

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IPC IPC(8): G06F17/30G06K9/62
CPCG06F16/58G06F18/21
Inventor 李宁郭乔进
Owner NANJING UNIV
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