An object tracking algorithm based on adaptive particle filtering and deep correlation multi-model

Keke Duan; Yue Yu

doi:10.1117/12.2628642

7 March 2022 An object tracking algorithm based on adaptive particle filtering and deep correlation multi-model

Keke Duan, Yue Yu

Proceedings Volume 12167, Third International Conference on Electronics and Communication; Network and Computer Technology (ECNCT 2021); 121672O (2022) https://doi.org/10.1117/12.2628642
Event: 2021 Third International Conference on Electronics and Communication, Network and Computer Technology, 2021, Harbin, China

Abstract

An object tracking algorithm based on adaptive particle filtering and deep correlation multi-model is proposed to solve the problem of large numbers of particles, as well as the defects in the generation of object model in the conventional correlation particle filter. The proposed algorithm generates multi-object model by applying different adjustment rates to each high likelihood particle, and updates and predicts the particles adaptively according to the weight of correlation response graph and particle position. The proposed algorithm can adaptively adjust the number of particles according to the complexity of the tracking scene to obtain more useful particles, solve the problem of the conventional algorithm in model generation, and improve the tracking performance. The experimental results compared with some existing tracking algorithms on OTB100 datasets show that the proposed algorithm can track the object more accurately and stably under the influence of various challenging factors.

Citation Download Citation

Keke Duan and Yue Yu "An object tracking algorithm based on adaptive particle filtering and deep correlation multi-model", Proc. SPIE 12167, Third International Conference on Electronics and Communication; Network and Computer Technology (ECNCT 2021), 121672O (7 March 2022); https://doi.org/10.1117/12.2628642

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KEYWORDS

Detection and tracking algorithms

Particle filters

Convolution

Image filtering

Electronic filtering

Convolutional neural networks

Network architectures

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