Moving target recognition and tracking algorithm based on multi-source information perception

Feng, Yingying; Liu, Hui; Zhao, Shumin

doi:10.1007/s11042-019-7483-x

Cited by 8 publications

(7 citation statements)

References 21 publications

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“…When the image is in the sequence of 46 frames, the number of disconnected sub-blocks is 3, which is slightly less than that of the method in reference [24] and significantly less than that of the method in reference [23]. When the image is in the sequence of 60 frames, it is slightly less than that of the method in reference [24] and significantly less than that of the method in reference [23]. It can be shown that the number of disconnected subblocks in the method in this paper and the method in reference [24] is relatively low, which means that the extracted contour is more complete.…”

Section: Experiments and Analysismentioning

confidence: 81%

“…4, we can see that a sequence of moving images is divided into 32, 46 and 60 frames. After processing with the method in this paper, when the image is in the sequence of 32 frames, it is less than that of the method in reference [24] and the method in reference [23]. When the image is in the sequence of 46 frames, the number of disconnected sub-blocks is 3, which is slightly less than that of the method in reference [24] and significantly less than that of the method in reference [23].…”

Section: Experiments and Analysismentioning

confidence: 83%

“…After processing with the method in this paper, when the image is in the sequence of 32 frames, it is less than that of the method in reference [24] and the method in reference [23]. When the image is in the sequence of 46 frames, the number of disconnected sub-blocks is 3, which is slightly less than that of the method in reference [24] and significantly less than that of the method in reference [23]. When the image is in the sequence of 60 frames, it is slightly less than that of the method in reference [24] and significantly less than that of the method in reference [23].…”

Section: Experiments and Analysismentioning

confidence: 90%

“…In order to verify the comprehensive performance of the proposed method, the proposed method, reference [23] and reference [24] are compared and analyzed to identify errors of different human movements. The experimental environment is: AMD A10-5750m2.50GHz CPU, 4GB memory, Win10 operating system, Visual Studio2013 + 0pencv3.0, Matlab2013 software.…”

Section: Experiments and Analysismentioning

confidence: 99%

See 3 more Smart Citations

Parallax information fusion-based for dance moving image posture extraction

Liu¹,

Teng²

2018

ICST Transactions on Scalable Information Systems

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The existing motion image posture contour extraction results have low definition and serious detail loss. To solve this problem, we propose a novel dance moving image posture extraction method based on parallax information fusion. Firstly, the image with motion information is statistically analyzed by using the information fusion process to determine the position of the motion region. After the noise is reduced by morphological processing, the initial motion posture profile is obtained. The parallax between different control points and the center is used as the active contour model to shape the contraction force and expansion force, which can effectively assist the initial edge contour curve to gradually approach the real edge contour. Finally, the contour of the current moving image is extracted from the sequence image contour to obtain the attitude contour of the moving image. The experimental results show that the proposed method can extract the contour of the moving image clearly with less detail loss, which proves that the proposed method has strong practical performance and can effectively find the contour of the moving object.

show abstract

Section: Experiments and Analysismentioning

confidence: 81%

Section: Experiments and Analysismentioning

confidence: 83%

Section: Experiments and Analysismentioning

confidence: 90%

Section: Experiments and Analysismentioning

confidence: 99%

See 2 more Smart Citations

Parallax information fusion-based for dance moving image posture extraction

Liu¹,

Teng²

2018

ICST Transactions on Scalable Information Systems

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show abstract

“…Some researchers pointed out that the optical flow method in target recognition not only contains the motion information of important moving objects but also contains background information that is very useful for tracking and detection. [10,11]. Some scholars have developed a MATLAB-based COCOA system for target recognition and UAV aerial video surveillance.…”

Section: Introductionmentioning

confidence: 99%

Application of Image Processing Technology in the Visual Design of Motion Health under the Background of Wireless Communication: Take Swimming as an Example

Wang¹,

Liu

2022

Wireless Communications and Mobile Computing

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Exercise is an active means to improve the body’s immune function, resist disease invasion, and prolong life. Research data shows that healthy people who exercise regularly have better cellular and humoral immunity than ordinary people. Although physical exercise can strengthen the body, unscientific physical exercise can also cause harm to the body. Contingencies in sports add to the complexity of medical care. In recent years, people pay more and more attention to sports health, and the development of information technology can enable experts to use sports health visualization technology to carry out scientific physical exercise, reduce medical accidents, and ensure sports health, which has become a consensus. As an important technology in the field of sports health visualization, image processing technology has attracted more and more attention. Image processing technology is realized with the help of computer vision technology. It uses cameras, computers, collectors, and other equipment instead of human eyes to monitor and identify the catalogue, collect images, and then process and analyze the images. Image processing technology has played a very important role in sports emergencies. This paper studies the image processing technology in the field of sports health visualization and takes swimming as an example to illustrate the role of image processing technology in sports health visual design. Using scientifically designed sensors, data analysis is performed on various images of athletes while swimming, and exercise recommendations are continued based on the principles of exercise science. According to the test results, the visual target recognition rate during swimming has reached a high level, which also greatly improves the scientificity of athletes during exercise.

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Research on Basketball Robot Recognition and Localization Based on MobileNet-SSD and Multi-sensor

Lin

Chen

2021

Intelligent Equipment, Robots, and Vehicles

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Moving target recognition and tracking algorithm based on multi-source information perception

Cited by 8 publications

References 21 publications

Parallax information fusion-based for dance moving image posture extraction

Parallax information fusion-based for dance moving image posture extraction

Application of Image Processing Technology in the Visual Design of Motion Health under the Background of Wireless Communication: Take Swimming as an Example

Research on Basketball Robot Recognition and Localization Based on MobileNet-SSD and Multi-sensor

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