Cited By
View all- Xu H(2024)Analysis and Prediction of Financial Stock Risk Value Based On Improved FAST-ICA Algorithm and GARCH ModelProcedia Computer Science10.1016/j.procs.2024.09.060243:C(490-495)Online publication date: 1-Jan-2024
RICA-MD: A Refined ICA Algorithm for Motion Detection
Authors: 
Chao Zhang, Xiaopei Wu, Jianchao Lu, Xi Zheng, Alireza Jolfaei, 
Quan Z. Sheng, Dongjin YuAuthors Info & Claims
Chao Zhang, Xiaopei Wu, Jianchao Lu, Xi Zheng, Alireza Jolfaei, Quan Z. Sheng, Dongjin YuAuthors Info & ClaimsArticle No.: 17, Pages 1 - 17
Abstract
With the rapid development of various computing technologies, the constraints of data processing capabilities gradually disappeared, and more data can be simultaneously processed to obtain better performance compared to conventional methods. As a standard statistical analysis method that has been widely used in many fields, Independent Component Analysis (ICA) provides a new way for motion detection by extracting the foreground without precisely modeling the background. However, most existing ICA-based motion detection algorithms use only two-channel data for source separation and simply generate the observation vectors by decomposing and reconstructing the images by row, hence they cannot obtain an integrated and accurate shape of the moving objects in complex scenes. In this article, we propose a refined ICA algorithm for motion detection (RICA-MD), which fuses a larger number of channels than conventional ICA-based motion detection algorithms to provide more effective information for foreground extraction. Meanwhile, we propose four novel methods for generating observation vectors to further cover the diverse motion styles of the moving objects. These improvements enable RICA-MD to effectively deal with slowly moving objects, which are difficult to detect using conventional methods. Our quantitative evaluation in multiple scenes shows that our proposed method is able to achieve a better performance at an acceptable cost of false alarms.
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Publication History
Published: 31 March 2021
Accepted: 01 August 2020
Revised: 01 June 2020
Received: 01 January 2020
Published in TOMM Volume 17, Issue 1s
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View all- Xu H(2024)Analysis and Prediction of Financial Stock Risk Value Based On Improved FAST-ICA Algorithm and GARCH ModelProcedia Computer Science10.1016/j.procs.2024.09.060243:C(490-495)Online publication date: 1-Jan-2024
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