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Proceedings Paper

Communication target object recognition for D2D connection with feature size limit
Author(s): Jiheon Ok; Soochang Kim; Young-hoon Kim; Chulhee Lee
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Paper Abstract

Recently, a new concept of device-to-device (D2D) communication, which is called “point-and-link communication” has attracted great attentions due to its intuitive and simple operation. This approach enables user to communicate with target devices without any pre-identification information such as SSIDs, MAC addresses by selecting the target image displayed on the user’s own device. In this paper, we present an efficient object matching algorithm that can be applied to look(point)-and-link communications for mobile services. Due to the limited channel bandwidth and low computational power of mobile terminals, the matching algorithm should satisfy low-complexity, low-memory and realtime requirements. To meet these requirements, we propose fast and robust feature extraction by considering the descriptor size and processing time. The proposed algorithm utilizes a HSV color histogram, SIFT (Scale Invariant Feature Transform) features and object aspect ratios. To reduce the descriptor size under 300 bytes, a limited number of SIFT key points were chosen as feature points and histograms were binarized while maintaining required performance. Experimental results show the robustness and the efficiency of the proposed algorithm.

Paper Details

Date Published: 11 March 2015
PDF: 7 pages
Proc. SPIE 9411, Mobile Devices and Multimedia: Enabling Technologies, Algorithms, and Applications 2015, 94110B (11 March 2015); doi: 10.1117/12.2083321
Show Author Affiliations
Jiheon Ok, Yonsei Univ. (Korea, Republic of)
Soochang Kim, Electronics and Telecommunications Research Institute (Korea, Republic of)
Young-hoon Kim, Electronics and Telecommunications Research Institute (Korea, Republic of)
Chulhee Lee, Yonsei Univ. (Korea, Republic of)


Published in SPIE Proceedings Vol. 9411:
Mobile Devices and Multimedia: Enabling Technologies, Algorithms, and Applications 2015
Reiner Creutzburg; David Akopian, Editor(s)

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