7 March 2013 Full-automatic recognition of various parking slot markings using a hierarchical tree structure
Jae Kyu Suhr, Ho Gi Jung
Author Affiliations +
Abstract
A full-automatic method for recognizing parking slot markings is proposed. The proposed method recognizes various types of parking slot markings by modeling them as a hierarchical tree structure. This method mainly consists of two processes: bottom-up and top-down. First, the bottom-up process climbs up the hierarchical tree structure to excessively generate parking slot candidates so as not to lose the correct slots. This process includes corner detection, junction and slot generation, and type selection procedures. After that, the top-down process confirms the final parking slots by eliminating falsely generated slots, junctions, and corners based on the properties of the parking slot marking type by climbing down the hierarchical tree structure. The proposed method was evaluated in 608 real-world parking situations encompassing a variety of different parking slot markings. The experimental result reveals that the proposed method outperforms the previous semiautomatic method while requiring a small amount of computational costs even though it is fully automatic.
© 2013 Society of Photo-Optical Instrumentation Engineers (SPIE) 0091-3286/2013/$25.00 © 2013 SPIE
Jae Kyu Suhr and Ho Gi Jung "Full-automatic recognition of various parking slot markings using a hierarchical tree structure," Optical Engineering 52(3), 037203 (7 March 2013). https://doi.org/10.1117/1.OE.52.3.037203
Published: 7 March 2013
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CITATIONS
Cited by 49 scholarly publications and 2 patents.
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KEYWORDS
Corner detection

Databases

Diamond

Optical engineering

Sensors

Cameras

Image processing

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