Image encoding, recognizing and tracking method, system and device and storage medium

A technology of image coding and recognition methods, applied in image analysis, image data processing, instruments, etc., can solve the problems of occupying computing resources, affecting the following experience, and being easily disturbed by the environment

Active Publication Date: 2019-10-25
BEIJING JINGDONG QIANSHITECHNOLOGY CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0008] The technical problem to be solved by the present invention is that the target following algorithm in the prior art often follows the wrong target, affects the following experience, does not have uniqueness, requires

Method used

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  • Image encoding, recognizing and tracking method, system and device and storage medium
  • Image encoding, recognizing and tracking method, system and device and storage medium
  • Image encoding, recognizing and tracking method, system and device and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0108] Such as figure 1 所示,本实施例的图像编码方法包括:

[0109] S101、选取N个目标图形;

[0110] 其中,N个目标图形中有至少N-1个多边图形,N为大于或者等于2的正整数;

[0111] S102、在任意两个目标图形的连线的设定位置处进行编码,生成连线对应的编码信息;

[0112] S103、生成包含编码信息和N个目标图形的目标图像。

[0113] 本实施例中,通过选取N个目标图形,并对任意两个目标图形的连线的设定位置处进行编码,生成连线对应的编码信息,再生成包含编码信息和N个目标图形的目标图像,从而保证了目标图像的唯一性。

Embodiment 2

[0115] Such as figure 2 所示,本实施例的图像编码方法是对实施例1的进一步改进,具体地:

[0116] 本实施例中的N个目标图形均为多边图形且每个多边图形的顶点数不同。目标图形可以为包含字母、数字、动物、卡通人物等内容的图形。

[0117] 本实施例的图像编码方法还包括:

[0118] 步骤S101之后、步骤S102之前还包括:

[0119] S1020、将N个目标图形按照设定位置顺序排列设置;

[0120] 其中,连线为任意两个目标图形的中点的连线。

[0121] 步骤S102具体包括:

[0122] S1021、在每条连线的设定位置处均采用相同的编码信息进行编码;

[0123] 其中,编码信息包括采用圆形和 / 或多边形与颜色信息相结合的方式在连线的设定位置处进行标注的内容;

[0124] 本实施中可以通过将黑和白两种颜色信息结合圆形、多边形等其他形状进行二进制编码;当在一条连线上的n个位置处进行编码时,则可以得到2 n 种编码信息,即生成2 n 张不同的目标图像。

[0125] In addition, this embodiment is not limited to combining black and white color information with other shapes such as circles and polygons for binary encoding, and can also combine more types of colors with other shapes such as circles and polygons for other shapes according to actual needs. Hexadecimal encoding.

[0126] S1022. Generate encoding information corresponding to the connection.

[0127] The following is a specific description with examples:

[0128] Such as image 3 As shown, select ...

Embodiment 3

[0133] Such as Figure 4 As shown, the image recognition method of this embodiment is implemented based on the image coding method in any one of embodiments 1 or 2, and the image recognition method of this embodiment includes:

[0134] S201. Obtain a frame of image;

[0135] S202. Identify the first graphics in the image, and select N first graphics;

[0136] Wherein, there are at least N-1 polygonal figures among the N first figures;

[0137] S203. Perform decoding at the set position of the connection between any two first graphics, and obtain decoding information corresponding to the connection of the first graphics;

[0138] S204. Determine whether the decoded information is consistent with the encoded information, and if yes, determine an image including N first graphics as the target image.

[0139] In this embodiment, by identifying the first graphics in a frame of images, selecting N first graphics among them, and encoding the set positions of the connecting lines o...

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Abstract

The invention discloses an image encoding, recognizing and tracking method, system and device and a storage medium. The image encoding method comprises: selecting N target graphs; performing encodingat a set position of a connecting line of any two target graphs to generate encoding information corresponding to the connecting line; and generating a target image including the encoding informationand the N target graphs. According to the method, the robot can uniquely identify the target image from one frame of image, and even if other obstacles are shielded in the identification process, following is not influenced; once the target object is lost, the target object can be quickly identified again, the condition of tracking the target object by mistake is avoided, and the method has the advantages of high calculation efficiency, high identification speed, timely response, low cost, no interference from the environment, capability of realizing tracking anytime and anywhere, no information leakage and the like.

Description

technical field [0001] The present invention relates to the field of image technology, in particular to a method, system, device and storage medium for image coding, identification and tracking. Background technique [0002] At present, in application scenarios such as distribution robots, indoor robots, and supermarket shopping robots, robots are required to have the function of following specific pedestrians (ie, target objects). How to quickly, efficiently, stably, and without error tracking a specific target is the current research hotspot in distribution robots. [0003] In the program of following the robot, the camera can be used for visual tracking, and UWB (UltraWideband, a carrier-free communication technology) can also be used to achieve visual tracking. At present, the pedestrian following algorithm with better effect is mainly an object detection and recognition method based on the combination of deep learning and KCF algorithm. In the field of visual tracking,...

Claims

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Application Information

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IPC IPC(8): G06T7/292
CPCG06T7/292
Inventor 李政李雨倩刘懿
Owner BEIJING JINGDONG QIANSHITECHNOLOGY CO LTD
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