Behaviour pattern recognition of video image based on computer vision technology
F. Jiang and Y. Yu
刊名International Journal of Information and Communication Technology
2021
卷号19期号:1页码:56-75
ISSN号14666642
DOI10.1504/IJICT.2021.116554
英文摘要Aiming at the problems of low tracking accuracy, low recognition accuracy and low recognition efficiency in the traditional video image behaviour pattern recognition and analysis methods, a video image behaviour pattern recognition and analysis method based on computer vision technology is proposed. Through the computer vision technology to obtain the video image information, and to process the collected video image, combined with the automatic selection of tracking region algorithm and particle filter algorithm, on the basis of the target colour distribution model, to track the target in the video image. According to the extracted video image features, a multi example learning model is constructed, and the feature samples are selected to solve the positive sample set, and the results are input into the multi example SVM classifier to complete the recognition and analysis of video image behaviour. The experimental results show that the proposed method takes less than 2s to identify the target, and has high target tracking accuracy, recognition accuracy and recognition efficiency. 2021 Inderscience Enterprises Ltd.. All rights reserved.
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内容类型期刊论文
源URL[http://ir.ciomp.ac.cn/handle/181722/65073]  
专题中国科学院长春光学精密机械与物理研究所
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F. Jiang and Y. Yu. Behaviour pattern recognition of video image based on computer vision technology[J]. International Journal of Information and Communication Technology,2021,19(1):56-75.
APA F. Jiang and Y. Yu.(2021).Behaviour pattern recognition of video image based on computer vision technology.International Journal of Information and Communication Technology,19(1),56-75.
MLA F. Jiang and Y. Yu."Behaviour pattern recognition of video image based on computer vision technology".International Journal of Information and Communication Technology 19.1(2021):56-75.
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