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Hand waving detection method based on motion historical images

A technology of moving historical images and detection methods, which is applied in the direction of instruments, character and pattern recognition, computer components, etc., can solve the problems of dependence, inability to automatically identify, and inability to provide computing power, etc., to achieve high detection accuracy and low complexity Effect

Active Publication Date: 2017-02-22
湖南优象科技有限公司
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Problems solved by technology

This method is simple in principle and relatively easy to implement, but it also has obvious defects: 1. The manual animation frame is inaccurate and depends on the operator's proficiency in the use of equipment and software; 2. The frame is often implemented on handheld devices such as mobile phones. It cannot be automatically recognized when it is out of the mobile phone
The target waving detection algorithm for UAV follow-up needs to run on the mobile phone, which cannot provide higher computing power, so the existing methods are not suitable for target waving detection for UAV follow-up

Method used

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  • Hand waving detection method based on motion historical images
  • Hand waving detection method based on motion historical images
  • Hand waving detection method based on motion historical images

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Embodiment Construction

[0042] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0043] The area captured by the drone is relatively large, and the waving area of ​​the following object only takes up a small part of the entire picture. Therefore, in order to accurately determine whether there is a waving action, it is first necessary to determine an approximate area. Since the hand region is too small, direct hand detection is not feasible. Considering that the waving action generally occurs at the upper right of the target, the present invention proposes a hand waving detection method based on motion history images.

[0044] Firstly, train a pedestrian detector, and shoot different pedestrians through the camera on the drone. A total of no less than 500 pedestrian images are collected as positive samples, and the number of pedestrians participating in the collection is no less than 100. Then collect more than 200 images tha...

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Abstract

The invention provides a hand waving detection method based on motion historical images. The area of hand waving detection is indirectly confirmed through pedestrian detection firstly, then the principal motion direction of the area is calculated through the motion historical images, and finally the motion of hand waving in the sequential images is judged. The method is low in complexity, high in detection accuracy and suitable for the target confirmation phase before target following photographing of the unmanned aerial vehicle.

Description

technical field [0001] The invention relates to the technical fields of image processing and computer vision processing, in particular to a hand-waving detection method based on motion history images. Background technique [0002] With the rapid development of automation technology, the functions of drones are becoming more and more powerful, and automatic tracking and shooting of targets has become an important part of drone applications. The person or object to be tracked needs to be selected before the UAV is followed. In the traditional target selection, the method of manual frame selection is usually used to select the target. This method is simple in principle and relatively easy to implement, but it also has obvious defects: 1. The manual animation frame is inaccurate and depends on the operator's proficiency in the use of equipment and software; 2. The frame is often implemented on handheld devices such as mobile phones. It cannot be automatically recognized when i...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/46G06K9/62
CPCG06V40/107G06V40/28G06V10/507G06F18/2411
Inventor 罗文峰
Owner 湖南优象科技有限公司
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