2021 IEEE International Conference on Image Processing

19-22 September 2021 • Anchorage, Alaska, USA

Imaging Without Borders

2021 IEEE International Conference on Image Processing

19-22 September 2021 • Anchorage, Alaska, USA

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Paper Detail

Paper IDTEC-5.9
Paper Title ADAPTIVE MULTI-FEATURE FUSION FOR ROBUST OBJECT TRACKING
Authors Mengxue Liu, Yujuan Qi, Yanjiang Wang, Baodi Liu, China University of Petroleum (East China), China
SessionTEC-5: Image and Video Processing 1
LocationArea G
Session Time:Monday, 20 September, 13:30 - 15:00
Presentation Time:Monday, 20 September, 13:30 - 15:00
Presentation Poster
Topic Image and Video Processing: Linear and nonlinear filtering of images & video
IEEE Xplore Open Preview  Click here to view in IEEE Xplore
Abstract In this paper, in order to better describe the object, an adaptive multi-feature fusion method is proposed, which makes full use of the advantages of various features. Firstly, hierarchical convolution features and two hand-crafted features are fused linearly, and the weights of different features are adjusted adaptively to obtain the optimal object representation in the tracking process. Secondly, a translation filter and a scale filter are adopted to estimate the object's exact position and scale, respectively. Finally, in the model update stage, an efficient adaptive model update strategy is used to improve the performance, which can significantly alleviate the model noises. Extensive experimental results on well-known benchmark datasets show that the proposed algorithm performs favorably against the state-of-the-art tracking methods.