Video Object Detection Method Using Single-Frame Detection and Motion Vector Tracking

Masato Nohara, Hiroaki Nishi

研究成果: Conference contribution

抄録

Video traffic on the Internet has been increasing rapidly and accounts for a large percentage of the total traffic. To process the increasing number of videos, edge computing is preferable for load balancing and bandwidth reduction. However, edge areas have less computational resources than cloud areas, and high-performance GPUs for processing videos at high speed are not always present. Therefore, a memory-saving and high-Throughput video analysis method is necessary for analyzing videos in edge areas. In this paper, a video object detection method using single-frame detection and motion vector tracking is proposed. This method is classified as a pixel and compressed domain analysis method and is realized by compensating motion using the motion vectors that already exist in the compressed domain. This method is divided into two processes: CNN-based object detection and motion vector-based object detection. In addition, a network-Transparent platform for video reconstruction in edge areas is constructed. The network-Transparent service can be installed without modifying the existing end-device network settings, network configuration, and routing. The platform enables video object detection services to be added on without modification of these settings.

本文言語English
ホスト出版物のタイトルProceedings - 2020 IEEE 18th International Conference on Industrial Informatics, INDIN 2020
出版社Institute of Electrical and Electronics Engineers Inc.
ページ119-125
ページ数7
ISBN(電子版)9781728149646
DOI
出版ステータスPublished - 2020 7 20
イベント18th IEEE International Conference on Industrial Informatics, INDIN 2020 - Virtual, Warwick, United Kingdom
継続期間: 2020 7 212020 7 23

出版物シリーズ

名前IEEE International Conference on Industrial Informatics (INDIN)
2020-July
ISSN(印刷版)1935-4576

Conference

Conference18th IEEE International Conference on Industrial Informatics, INDIN 2020
国/地域United Kingdom
CityVirtual, Warwick
Period20/7/2120/7/23

ASJC Scopus subject areas

  • コンピュータ サイエンスの応用
  • 情報システム

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