A Traceability Judgment Method for Infrared Sequence Images
A technology of sequential image and discrimination method, applied in the field of infrared target detection and recognition, to achieve the effect of accurate discrimination and strong intuitiveness
Active Publication Date: 2018-02-09
CHINA ACAD OF LAUNCH VEHICLE TECH
View PDF2 Cites 0 Cited by
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
In order to discriminate the impact of the imaging quality of infrared sequence images on tracking performance and solve the problem of judging whether infrared images need preprocessing; at the same time, in order to select a suitable tracking algorithm for infrared sequence images and solve the problem of tracking algorithm selection, the present invention proposes an infrared sequence image Target trackability discriminant method based on
Method used
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View moreImage
Smart Image Click on the blue labels to locate them in the text.
Smart ImageViewing Examples
Examples
Experimental program
Comparison scheme
Effect test
Embodiment Construction
[0032] Below in conjunction with accompanying drawing and specific embodiment the present invention is described in further detail:
[0033] Such as figure 1 Shown is the overall structure diagram of the trackability judgment method for infrared sequence images. It can be seen from the figure that the present invention is a traceability judgment method for infrared sequence images, which consists of a single-frame image feature extraction module, a single-frame image detectability analysis module, a It is composed of an image traceability analysis module and a confidence degree judgment module.
[0034] Single-frame image feature extraction module: as shown in Figure 2, each image in the video to be tracked is extracted, including an image quality feature extraction module, a target feature extraction module, and a background feature extraction module;
[0035] Image quality feature extraction module: such as image 3 As shown, the calculated quality features of the referenc...
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More PUM
Login to View More Abstract
The present invention proposes a method for judging the trackability of infrared sequence images, which uses infrared image quality features, image gradient features, and image texture features to calculate the detectability confidence of each frame of images in the sequence images, and obtain sequence images by weighting Confidence degree of traceability; the present invention proposes a method for directly calculating the confidence degree of traceability of sequence images by using the image entropy feature and the target background characteristic difference between the front and rear frames in the image. Both methods are mainly used for infrared target detection and infrared target tracking, and belong to the field of infrared target detection and recognition.
Description
technical field [0001] The invention relates to a method for judging the trackability of infrared sequence images, which belongs to the field of infrared target detection and recognition. Background technique [0002] Traceability analysis serves the tracking algorithm, and is used to judge whether the target area is suitable for a certain tracking algorithm. Different tracking algorithms have great differences in performance indicators such as calculation amount and tracking accuracy. At the same time, because the target size, shape, gray level and its distribution, and image resolution in the imaging tracking system can all be affected by environmental conditions Therefore, when the selected tracking algorithm is inappropriate, the tracking results are often poor. At the same time, it is not uncommon for factors such as poor environmental conditions and camera shake to cause poor image quality, which in turn affects tracking performance. [0003] In order to improve the ...
Claims
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More Application Information
Patent Timeline
Login to View More Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/246G06K9/62
CPCG06T7/20G06T2207/10016G06T2207/10048G06T2207/20081G06F18/2415
Inventor 李航张琦王立强李元元胡超李宇飞魏向旺黄辉席福彪毛羽
Owner CHINA ACAD OF LAUNCH VEHICLE TECH