Robust objectness tracking with weighted multiple instance learning algorithm

A novel improved online weighted multiple instance learning algorithm(IWMIL) for visual tracking is proposed. In the IWMIL algorithm, the importance of each sample contributing to bag probability is evaluated based on the objectness estimation with object properties (superpixel straddling). To reduc...

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Bibliographic Details

Published in:	Neurocomputing (Amsterdam) Vol. 288; pp. 43 - 53
Main Authors:	Yang, Honghong, Qu, Shiru, Zhu, Fumin, Zheng, Zunxin
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 02.05.2018
Subjects:	Adaptive learning rate Object similarity constraint Object tracking Objectness Weighted multiple instance learning algorithm Weighted multiple instance learning algorithm Objectness Adaptive learning rate Object tracking Object similarity constraint
ISSN:	0925-2312, 1872-8286
Online Access:	Get full text
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