Paper Abstract and Keywords |
Presentation |
2019-12-20 10:45
An Efficient Block-wise Object Detection Method using Consecutive Frames for High Resolution Video Kazuki Hozumi, Yoichi Tomioka (UoA) PRMU2019-57 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
In recent years, in the fields such as surveillance cameras and in-vehicle camera systems, efficient deep-learning-based object detection methods, such as Single Shot MultiBox Detector (SSD), that do not require window scanning have received a significant attention. However, these methods require a lot of memory and computation. For this reason, when we apply them to higher definition video, it can be necessary to divide the video into multiple blocks for inference processing due to restrictions on memory capacity of GPUs or FPGAs. However, the detection accuracy of objects near the block division boundary can be low. Although we can use overlap blocks to reduce the effects of block boundary, it increases the number of blocks and execution time. In this paper, we propose a method for reducing the execution time per frame, which assigns a different pattern to each fame and integrates the results of object detection from multiple frames. In the experiments, the object detection accuracy was evaluated using three data from the Multiple Object Tracking Benchmark dataset 2017. We reduced the number of blocks per frames to 55.6% while the accuracy denegeration is within 4.5%. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Convolutional neural network / Deep learning / Object detection / Single Shot Multibox Detector Detector / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 119, no. 347, PRMU2019-57, pp. 69-74, Dec. 2019. |
Paper # |
PRMU2019-57 |
Date of Issue |
2019-12-12 (PRMU) |
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 |
PRMU2019-57 |
Conference Information |
Committee |
PRMU |
Conference Date |
2019-12-19 - 2019-12-20 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
|
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
|
Paper Information |
Registration To |
PRMU |
Conference Code |
2019-12-PRMU |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
An Efficient Block-wise Object Detection Method using Consecutive Frames for High Resolution Video |
Sub Title (in English) |
|
Keyword(1) |
Convolutional neural network |
Keyword(2) |
Deep learning |
Keyword(3) |
Object detection |
Keyword(4) |
Single Shot Multibox Detector Detector |
Keyword(5) |
|
Keyword(6) |
|
Keyword(7) |
|
Keyword(8) |
|
1st Author's Name |
Kazuki Hozumi |
1st Author's Affiliation |
University of Aizu (UoA) |
2nd Author's Name |
Yoichi Tomioka |
2nd Author's Affiliation |
University of Aizu (UoA) |
3rd Author's Name |
|
3rd Author's Affiliation |
() |
4th Author's Name |
|
4th Author's Affiliation |
() |
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 |
() |
Speaker |
Author-1 |
Date Time |
2019-12-20 10:45:00 |
Presentation Time |
15 minutes |
Registration for |
PRMU |
Paper # |
PRMU2019-57 |
Volume (vol) |
vol.119 |
Number (no) |
no.347 |
Page |
pp.69-74 |
#Pages |
6 |
Date of Issue |
2019-12-12 (PRMU) |
|