A Hand Waving Detection Method Based on Motion History Images

A technology of motion history images and detection methods, applied in the fields of image processing and computer vision processing, can solve problems such as dependence, inability to automatically identify, and inability to provide computing power, and achieve the effect of high detection accuracy and low complexity

Active Publication Date: 2019-05-07
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

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  • A Hand Waving Detection Method Based on Motion History Images
  • A Hand Waving Detection Method Based on Motion History Images
  • A Hand Waving Detection Method Based on Motion History 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 th...

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Abstract

The present invention proposes a hand-waving detection method based on motion history images. Firstly, the area of ​​hand-waving detection is determined indirectly through pedestrian detection, then the main motion direction of the area is calculated through motion history images, and finally whether there is waving motion in sequence images is judged. . The method proposed by the invention has low complexity and high detection accuracy, and is suitable for the target confirmation stage before the drone target tracking.

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...

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Application Information

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Patent Type & Authority Patents(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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