NDLI: Anti-occlusion particle filter object-tracking method based on feature fusion

Content Provider	IET Digital Library
Author	Huan, Ruohong Bao, Shenglin Wang, Chu Pan, Yun
Abstract	A new anti-occlusion particle filter object-tracking method based on feature fusion is proposed in this study. Colour and local binary pattern features are extracted and additively fused with a deterministic coefficient, which is calculated based on the difference between the object features and the background. An integral cumulative histogram is proposed to reduce the computational cost of feature extraction. A new occlusion determination method is proposed, and corresponding tracking strategies are also put forward for various occlusion conditions; in the case of partial occlusion, block tracking is carried out, and in the case of serious occlusion, the least-square method is used to predict the object position. Context Aware Vision using Image-based Active Recognition (CAVIAR) and Video Image Retrieval and Analysis Tool (VIRAT) video libraries are used to validate the method. The experimental results show that the proposed method can describe an object effectively and improve tracking stability and robustness under the occlusion conditions.
Starting Page	1529
Ending Page	1540
Page Count	12
ISSN	17519659
Volume Number	12
e-ISSN	17519667
Issue Number	Issue 9, Sep (2018)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ipr/12/9
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2017.1068
Journal	IET Image Processing
Publisher Date	2018-03-28
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Antiocclusion Particle Filter Object-tracking Method CAVIAR Video Library Colour Local Binary Pattern Feature Extraction Computational Cost Reduction Computer Vision And Image Processing Technique Deterministic Coefficient Feature Extraction Feature Fusion Image Colour Analysis Image Filtering Image Recognition Integral Cumulative Histogram Interpolation And Function Approximation Least Squares Approximation Least-square Method Numerical Analysis Object Tracking Occlusion Determination Method Particle Filter Statistics Tracking Stability VIRAT Video Library
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

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