Object tracking with collaborative extreme learning machines

doi:10.1007/s11042-018-7135-6

CIOMP OpenIR

	Object tracking with collaborative extreme learning machines
	H. P. Kuang and L. Xun
	2020
发表期刊	Multimedia Tools and Applications
ISSN	1380-7501
卷号	79 期号:7-8 页码:4965-4988
摘要	We propose a novel collaborative discriminative model based on extreme learning machine (ELM) for object tracking in this paper. In order to represent the object more precisely, we first propose a new collaborative discriminative representation model, which includes both a global discriminative sub-model and a local discriminative sub-model. Different from traditional local representation models, in particular, our local sub-model integrates several classifiers which have structural relations to improve the expression. The global discriminative model represents the appearance comprehensively while the local discriminative sub-model can effectively address occlusions and assist the update. Second, to have better combination of these sub-models, we propose a novel collaboration strategy based on the Kullback-Leibler (KL) distance. The novel strategy can determine the weights of the sub-models adaptively by measuring their KL distances reciprocally. Third, we introduce ELM into tracking and adopt it to build both the global and the local discriminative sub-models simultaneously. Since ELM has a good generalization performance and is robust to the imbalance of the training samples, it is suitable to be used for tracking. Experimental results demonstrate that our method can achieve comparable performance to many state-of-the-art tracking approaches.
DOI	10.1007/s11042-018-7135-6
URL	查看原文
收录类别	SCI ; EI
语种	英语
引用统计
文献类型	期刊论文
条目标识符	http://ir.ciomp.ac.cn/handle/181722/64738
专题	中国科学院长春光学精密机械与物理研究所
推荐引用方式 GB/T 7714	H. P. Kuang and L. Xun. Object tracking with collaborative extreme learning machines[J]. Multimedia Tools and Applications,2020,79(7-8):4965-4988.
APA	H. P. Kuang and L. Xun.(2020).Object tracking with collaborative extreme learning machines.Multimedia Tools and Applications,79(7-8),4965-4988.
MLA	H. P. Kuang and L. Xun."Object tracking with collaborative extreme learning machines".Multimedia Tools and Applications 79.7-8(2020):4965-4988.

条目包含的文件		下载所有文件
文件名称/大小	文献类型	版本类型	开放类型	使用许可
Kuang-2020-Object tr（7471KB）	期刊论文	出版稿	开放获取	CC BY-NC-SA	浏览下载