Visual tracking algorithm taking paper as object

A visual tracking and paper technology, applied in the field of visual tracking algorithms, can solve the problems of insufficient number of feature points and insufficient tracking robustness.

Inactive Publication Date: 2017-08-11
CHANGAN UNIV +1
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  • Application Information

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Problems solved by technology

[0003] Existing tracking algorithms rely heavily on the detected feature points. For this patent, t

Method used

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  • Visual tracking algorithm taking paper as object
  • Visual tracking algorithm taking paper as object
  • Visual tracking algorithm taking paper as object

Examples

Experimental program
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Embodiment 1

[0057] In this embodiment, a blank rectangular paper is selected and placed on a white smooth desktop (no texture information), and the paper is moved and rotated on the desktop at will, and the paper is obtained in real time and continuously to move and rotate at will on the desktop Video images of the process.

[0058] Get the first frame of the video image, select a corner of the paper, the size of the selected mark window is 32*32, coincide the center of the mark window with the vertex of the corner, and align the sides of the mark window with the edges of the paper The sides are parallel to get a marked area, record the position information of the center point of the marked area and use the rectangular area as the target area; for example figure 2 It is a schematic diagram of the target area marked in the first frame of video image. When determining positive samples and negative samples, h takes 8, and v takes 20, such as image 3 Schematic diagram of multiple sample im...

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Abstract

The invention discloses a visual tracking algorithm taking paper as an object, and the algorithm comprises the steps: carrying out the classification of positive and negative samples in a first image frame; calculating the feature values of all positive and negative samples, and determining a first target area; carrying out the sampling nearby the target region of the former frame on each image frame after the second frame through a sampling block; calculating the scores of all sampling blocks through combining with the feature values of the positive and negative samples of the former frame; employing the sampling block with the highest score, and carrying out the detection of each sampling block through an LSD linear detection algorithm; finding the sampling blocks forming an inclined angle in the section [70 degrees, 110 degrees], wherein the intersection of two straight lines is located in the sampling block; further selecting one sampling blocks with the intersection of two straight lines being the nearest to the center as the target sampling block. The method gives consideration to a problem of a photographing angle of a camera when paper moves, and enables a finally obtained tracking target to be more accurate.

Description

technical field [0001] The invention relates to the technical field of computer vision tracking, in particular to a vision tracking algorithm targeting paper. Background technique [0002] The application of vision-based target tracking in the fields of video surveillance and human-computer interaction is gradually becoming popular, and research in this area is also a research hotspot in the field of computer vision. At present, most of the application scenarios of this kind of visual target tracking have very rich texture details, such as faces, pedestrians and vehicles, etc. These texture details provide enough feature information for target tracking, which constitutes the feature calculation of target tracking. Space, although feature jumps due to lighting or pose, etc. will affect the robustness of tracking. But for some particularly simple scenes, such as paper or cards on the desk, because of the extremely scarce texture information, how to track is also a topic worth...

Claims

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Application Information

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IPC IPC(8): G06T7/231
CPCG06T2207/20081
Inventor 柳有权董飞
Owner CHANGAN UNIV
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