A component-based object detection method extended with a fuzzy inference engine
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Date
2015
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Institute of Electrical and Electronics Engineers Inc.
Abstract
In this paper, we propose a component-based object detection method extended with the fuzzy inference technique. The proposed method detects constituent components of a complex object instead of a whole object in images. For component detection, multiple multi-class support vector machines (SVM) are used in parallel. Each SVM classifies the candidate component using a different low-level image feature. The obtained results are fused to reach a decision about the component. Then, a fuzzy object extractor determines the whole object considering the detected components and their geometric configurations. The fuzzy object extractor is a fuzzy inference engine which tests various combinations of detected components and their fuzzified directions and distances. The initial tests yield promising results and encourage further studies to extend proposed method. © 2015 IEEE.
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Keywords
Component-based object detection, fuzzy inference, image processing, multimedia, semantic content extraction
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Source
IEEE International Conference on Fuzzy Systems -- IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2015 -- 2 August 2015 through 5 August 2015 -- Istanbul -- 118450
Volume
2015-November