Presentation | 2016-11-17 Performance Evaluations of Event-driven Rate Adaptation using Multimodal Sensors for Video Surveillance System Keigo Ogawa, Kenji Kanai, Masaru Takeuchi, Jiro Katto, Toshitaka Tsuda, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Recently, demand for a network-friendly video surveillance system which avoids redundant video traffic in backbone is increasing. To address this fact, in this paper, we propose an event-driven rate adaptation method using multi-modal sensors. In this proposal, we first detect human movements by using multi-modal sensors, and then control surveillance video quality according to the detected events in order to reduce video traffic in backbone networks. We implement our proposal by using a Laser Scanner, two infrared distance measurement sensors, and a high-quality camera and evaluate the performance of our proposal. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | event-driven rate adaptation / edge computing / multi-modal sensors / video surveillance system |
Paper # | MoNA2016-22 |
Date of Issue | 2016-11-10 (MoNA) |
Conference Information | |
Committee | IN / MoNA / CNR |
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Conference Date | 2016/11/17(2days) |
Place (in Japanese) | (See Japanese page) |
Place (in English) | Kirishima-kanko Hotel |
Topics (in Japanese) | (See Japanese page) |
Topics (in English) | M2M, IoT, Self Organization, Autonomous Distributed Control, Car Area Network, Car-Car network, Car-Road Network, ITS, Big Data Analysis, Cyber Physical System (CPS), Security Privacy Protection, Social Network (SNS), Cyber Attack resolution, Mobile Virtualization, Mobile Application, Cloud Robotics Service, etc. |
Chair | Katsunori Yamaoka(Tokyo Inst. of Tech.) / Hiroaki Morino(Shibaura Inst. of Tech.) / Michita Imai(Keio Univ.) |
Vice Chair | Takuji Kishida(NTT) / Ryoichi Shinkuma(Kyoto Univ.) / Tetsuo Ono(Hokkaido Univ.) / Masayuki Kanbara(NAIST) |
Secretary | Takuji Kishida(KDDI R&D Labs.) / Ryoichi Shinkuma(NTT) / Tetsuo Ono(Univ. of Tokyo) / Masayuki Kanbara(NTT DoCoMo) |
Assistant | Kunitake Kaneko(Keio Univ.) / Takashi Natsume(NTT) / Shigemi Ishida(Kyushu Univ.) / Hisashi Kurasawa(NTT) / Koichi Nihei(NEC) / Kosuke Yoshioka(Panasonic) / Daisuke Yamamoto(Toshiba) / Takahiro Matsumoto(NTT) |
Paper Information | |
Registration To | Technical Committee on Information Networks / Technical Committee on Mobile Network and Applications / Technical Committee on Cloud Network Robotics |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Performance Evaluations of Event-driven Rate Adaptation using Multimodal Sensors for Video Surveillance System |
Sub Title (in English) | |
Keyword(1) | event-driven rate adaptation |
Keyword(2) | edge computing |
Keyword(3) | multi-modal sensors |
Keyword(4) | video surveillance system |
1st Author's Name | Keigo Ogawa |
1st Author's Affiliation | Waseda University(Waseda Univ.) |
2nd Author's Name | Kenji Kanai |
2nd Author's Affiliation | Waseda University(Waseda Univ.) |
3rd Author's Name | Masaru Takeuchi |
3rd Author's Affiliation | Waseda University(Waseda Univ.) |
4th Author's Name | Jiro Katto |
4th Author's Affiliation | Waseda University(Waseda Univ.) |
5th Author's Name | Toshitaka Tsuda |
5th Author's Affiliation | Waseda University(Waseda Univ.) |
Date | 2016-11-17 |
Paper # | MoNA2016-22 |
Volume (vol) | vol.116 |
Number (no) | MoNA-305 |
Page | pp.pp.1-6(MoNA), |
#Pages | 6 |
Date of Issue | 2016-11-10 (MoNA) |