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Object loss determine method and device in visual tracking

A target loss and visual tracking technology, applied in the field of computer vision, can solve the problems that affect the tracking accuracy, the robot cannot keep up with the target in time, reduce the intelligence and walking efficiency of the robot, etc.

Inactive Publication Date: 2017-04-19
BEIJING INTELLIGENT STEWARD CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

If the robot is already in the state of losing track but cannot independently judge that the target has been lost and continues the original motion state, it will inevitably affect the accuracy of tracking, making the robot unable to keep up with the target in time, thereby greatly reducing the intelligence and walking efficiency of the robot

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  • Object loss determine method and device in visual tracking
  • Object loss determine method and device in visual tracking
  • Object loss determine method and device in visual tracking

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Embodiment Construction

[0081] Preferred embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although preferred embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.

[0082] figure 1 A flow chart showing a method for judging target loss in visual tracking according to an exemplary embodiment, the method is used for judging target loss in a tracking application scenario, such as figure 1 As shown, the target loss judging method in visual tracking according to an exemplary embodiment includes the following steps:

[0083] Step 1: Select a target detection model.

[0084] The target detection model is use...

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Abstract

An object loss determine method and a device in visual tracking are applied to object loss determination in a tracking application scene; the method comprises the following steps: selecting an object detection model, wherein the model is used for parsing and detecting the tracking application scene; parsing according to the tracking application scene video data and the object detection model, thus determining an interceptive value corresponding to the video data, wherein the interceptive value is used for determining whether object loss exists or not; using the object detection module to detect a to-be-detected image in real time, thus obtaining an object zone of the to-be-detected image; determining whether the object zone has object loss or not according to the interceptive value, wherein the object zone refers to the object-containing zone in the to-be-detected image. The method and device can solve the problems that an existing method needs other auxiliary equipment and auxiliary information in determination, and can fast, simply and accurately determine whether the object is lost or not.

Description

technical field [0001] The present disclosure relates to the field of computer vision, in particular to a method and device for judging target loss in visual tracking. Background technique [0002] Robots can greatly improve the intelligence of robots by visually tracking targets such as human bodies. Therefore, target tracking technology based on computer vision has been more and more widely used in intelligent robots. However, in the process of target tracking, it is inevitable that the target will be completely blocked or leave the field of view, which is called the phenomenon of loss of tracking. If the robot is already in the state of losing track but cannot independently judge that the target has been lost and continues the original motion state, it will inevitably affect the accuracy of tracking, making the robot unable to keep up with the target in time, thereby greatly reducing the intelligence and walking efficiency of the robot . [0003] Therefore, an effective...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00
CPCG06V20/46
Inventor 诸小熊汤炜
Owner BEIJING INTELLIGENT STEWARD CO LTD
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