NDLI: Infrared moving targets detection based on optical flow estimation

Content Provider	IEEE Xplore Digital Library
Author	Yunguang Qi Gang An
Copyright Year	2011
Description	Author affiliation: Department of Mechanical Engineering, The Academy of Armored Forces Engineering, Beijing, China, 100072 (Yunguang Qi; Gang An)
Abstract	The optical flow algorithm cannot acquire accuracy motion parameter estimation at low-gradient points. At the same time, the present improved methods required artificial selected parameters and when the threshold value was set too high the object area would yield holes. Two improved optical flow estimation methods were presented by modifying the optical flow basic constraint weighted function. Optical flow is rarely used in infrared image because of the high noise. So the simulations are made on real infrared image sequences. The experiment results demonstrate that the improved methods can depress the repression of reliable optical flow when the threshold value was set too high. The improved methods improve the self-adaptive ability what lay a good foundation for moving object detection and tracking. The optical flow could be used in object segmentation, moving status analysis and target tracking of infrared images.
Starting Page	2452
Ending Page	2455
File Size	1348354
Page Count	4
File Format	PDF
ISBN	9781457715860
e-ISBN	9781457715877
DOI	10.1109/ICCSNT.2011.6182466
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-12-24
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Weighted function Moving Targets Detection Self-adaptive Optical imaging Global Constraint Local Constraint Optical Flow
Content Type	Text
Resource Type	Article

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