Information: Join today and make your research activities more affordable! Technical workshop participation fees and annual registration fees are available at member rates.
Notice: [Important] Announcement of Changes to Registration Fee Payment and Manuscript Upload Procedures for IEICE Technical Meetings
IEICE Technical Committee Submission System
Conference Paper's Information		 Online Proceedings
[Sign in]
Tech. Rep. Archives
 Go Top Page Go Previous   [Japanese] / [English] 

Paper Abstract and Keywords
Presentation 2023-01-11 10:00
Prohibited Items Detection in X-ray Security Inspection by Using a Deep Learning Method
Qingqi Zhang (Yamaguchi Univ.), Ren Wu (Yamaguchi Junior College), Mitsuru Nakata, Qi-Wei Ge (Yamaguchi Univ.) MSS2022-52 SS2022-37
Abstract (in Japanese) (See Japanese page) 
(in English) Security screening machines using X-ray scanners are usually used to find out whether there are prohibited items in packages at airports, key venues and so on. The images after X-ray irradiation are characterized by monotone color and missing surface texture. These characteristics can make it more difficult to detect prohibited items in X-ray security inspection images. In this paper, we propose to use cascade network in deep learning to identifying prohibited items from X-ray security inspection images. To improve the detection accuracy of cascade network in prohibited items detection task as much as possible, we propose Re-BiFPN feature fusion method. Re-BiFPN structure is constructed by merging BiFPN layers into the bottom-up backbone layer through recursive connectivity to achieve more efficient cross-scale connectivity and weighted feature fusion. Experiments show that our proposed algorithm can successfully identify ten kinds of prohibited items such as Knife, Scissors, etc., and the algorithm achieves 83.4% of mAP.
Keyword (in Japanese) (See Japanese page) 
(in English) X-ray security inspection / Prohibited items detection / Multi-scale feature fusion / Target detection / / / /  
Reference Info. IEICE Tech. Rep., vol. 122, no. 329, MSS2022-52, pp. 42-47, Jan. 2023.
Paper # MSS2022-52 
Date of Issue 2023-01-03 (MSS, SS) 
ISSN Online edition: ISSN 2432-6380
Copyright
and
reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF MSS2022-52 SS2022-37

Conference Information
Committee MSS SS  
Conference Date 2023-01-10 - 2023-01-11 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To MSS 
Conference Code 2023-01-MSS-SS 
Language English (Japanese title is available) 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Prohibited Items Detection in X-ray Security Inspection by Using a Deep Learning Method 
Sub Title (in English)  
Keyword(1) X-ray security inspection  
Keyword(2) Prohibited items detection  
Keyword(3) Multi-scale feature fusion  
Keyword(4) Target detection  
Keyword(5)  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Qingqi Zhang  
1st Author's Affiliation Yamaguchi University (Yamaguchi Univ.)
2nd Author's Name Ren Wu  
2nd Author's Affiliation Yamaguchi Junior College (Yamaguchi Junior College)
3rd Author's Name Mitsuru Nakata  
3rd Author's Affiliation Yamaguchi University (Yamaguchi Univ.)
4th Author's Name Qi-Wei Ge  
4th Author's Affiliation Yamaguchi University (Yamaguchi Univ.)
5th Author's Name  
5th Author's Affiliation ()
6th Author's Name  
6th Author's Affiliation ()
7th Author's Name  
7th Author's Affiliation ()
8th Author's Name  
8th Author's Affiliation ()
9th Author's Name  
9th Author's Affiliation ()
10th Author's Name  
10th Author's Affiliation ()
11th Author's Name  
11th Author's Affiliation ()
12th Author's Name  
12th Author's Affiliation ()
13th Author's Name  
13th Author's Affiliation ()
14th Author's Name  
14th Author's Affiliation ()
15th Author's Name  
15th Author's Affiliation ()
16th Author's Name  
16th Author's Affiliation ()
17th Author's Name  
17th Author's Affiliation ()
18th Author's Name  
18th Author's Affiliation ()
19th Author's Name  
19th Author's Affiliation ()
20th Author's Name  
20th Author's Affiliation ()
21st Author's Name  
21st Author's Affiliation ()
22nd Author's Name  
22nd Author's Affiliation ()
23rd Author's Name  
23rd Author's Affiliation ()
24th Author's Name  
24th Author's Affiliation ()
25th Author's Name  
25th Author's Affiliation ()
26th Author's Name / /
26th Author's Affiliation ()
()
27th Author's Name / /
27th Author's Affiliation ()
()
28th Author's Name / /
28th Author's Affiliation ()
()
29th Author's Name / /
29th Author's Affiliation ()
()
30th Author's Name / /
30th Author's Affiliation ()
()
31st Author's Name / /
31st Author's Affiliation ()
()
32nd Author's Name / /
32nd Author's Affiliation ()
()
33rd Author's Name / /
33rd Author's Affiliation ()
()
34th Author's Name / /
34th Author's Affiliation ()
()
35th Author's Name / /
35th Author's Affiliation ()
()
36th Author's Name / /
36th Author's Affiliation ()
()
Speaker Author-1 
Date Time 2023-01-11 10:00:00 
Presentation Time 25 minutes 
Registration for MSS 
Paper # MSS2022-52, SS2022-37 
Volume (vol) vol.122 
Number (no) no.329(MSS), no.330(SS) 
Page pp.42-47 
#Pages 6 
Date of Issue 2023-01-03 (MSS, SS) 

[Return to Top Page]

[Return to IEICE Web Page]
The Institute of Electronics, Information and Communication Engineers (IEICE), Japan