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Hybridizing extended ant lion optimizer with sine cosine algorithm approach for abrupt motion tracking
EURASIP Journal on Image and Video Processing ( IF 2.0 ) Pub Date : 2020-01-21 , DOI: 10.1186/s13640-020-0491-y
Huanlong Zhang , Zeng Gao , Jie Zhang , Junfeng Liu , Zhicheng Nie , Jianwei Zhang

In view of the problem that the conventional tracker does not adapt to abrupt motion, we propose a tracking algorithm based on the hybrid extended ant lion optimizer with sine cosine algorithm (EALO-SCA) in this paper. Firstly, the multiple elites is used to replace the single elite in the standard ant lion optimizer (ALO). The extended ALO (EALO) can enhance the global exploration ability, which can handle abrupt motion. Secondly, considering that sine cosine algorithm (SCA) has strong local exploitation operator, a hybrid EALO-SCA tracker is proposed using the advantages of both EALO and SCA. The proposed approach can improve tracking accuracy and efficiency. Finally, extensive experimental results in both quantitative and qualitative measures prove that the proposed algorithm is very competitive compared to 7 state-of-the-art trackers, especially for abrupt motion tracking.

中文翻译:

混合扩展蚁狮优化器与正弦余弦算法的突变运动跟踪

针对传统的跟踪器无法适应突然运动的问题,本文提出了一种基于混合扩展蚁群优化器和正弦余弦算法的跟踪算法(EALO-SCA)。首先,在标准蚂蚁优化器(ALO)中,多个精英被用来代替单个精英。扩展的ALO(EALO)可以增强全局勘探能力,可以处理突变运动。其次,考虑到正弦余弦算法(SCA)具有强大的局部利用算子,提出了一种利用EALO和SCA的优点的混合EALO-SCA跟踪器。所提出的方法可以提高跟踪精度和效率。最后,在定量和定性方面的大量实验结果证明,与7个最新的跟踪器相比,该算法具有很高的竞争力,
更新日期:2020-01-21
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