Semi-supervised salient object detection using a linear feedback control system model

Zhou, Yuan, Huo, Shuwei, Xiang, Wei, Hou, Chunping, and Kung, Sun-Yuan (2019) Semi-supervised salient object detection using a linear feedback control system model. IEEE Transactions on Cybernetics, 49 (4). pp. 1173-1185.

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To overcome the challenging problems in saliency detection, we propose a novel semi-supervised classifier which makes good use of a linear feedback control system (LFCS) model by establishing a relationship between control states and salient object detection. First, we develop a boundary homogeneity model to estimate the initial saliency and background likelihoods, which are regarded as the labeled samples in our semi-supervised learning procedure. Then in order to allocate an optimized saliency value to each superpixel, we present an iterative semi-supervised learning framework which integrates multiple saliency cues and image features using an LFCS model. Via an innovative iteration method, the system gradually converges an optimized stable state, which is associating with an accurate saliency map. This paper also covers comprehensive simulation study based on public datasets, which demonstrates the superiority of the proposed approach.

Item ID: 57423
Item Type: Article (Research - C1)
ISSN: 2168-2275
Keywords: linear control system, saliency detection, semi-supervised learning
Copyright Information: © 2018 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission. See for more information.
Funders: National Natural Science Foundation of China (NSFC), Natural Science Foundation of Tianjin, China (NSFT)
Projects and Grants: NSFC grant 61571326, NSFC grant 61471262, NSFC grant 61520106002, NSFT grant 16JCQNJC00900
Date Deposited: 13 Mar 2019 07:47
FoR Codes: 46 INFORMATION AND COMPUTING SCIENCES > 4603 Computer vision and multimedia computation > 460306 Image processing @ 100%
SEO Codes: 89 INFORMATION AND COMMUNICATION SERVICES > 8999 Other Information and Communication Services > 899999 Information and Communication Services not elsewhere classified @ 100%
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