| Presentation | 2017-03-02 Performance Evaluations of Event Detection and Rate Adaptation Based on Multiple Sensor Information 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 feasible system that efficiently collects and analyzes sensing data in Internet of Things (IoT) network is increasing. To monitor railroad crossings as one of IoT applications, we have proposed a video surveillance system. This system detects human activities using various types of sensors and controls video transmission rate according to detected events. In this paper, we develop a prototype system and evaluate system performances such as event detection accuracy and video traffic reduction volumes. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Video surveillance / Event detection / Rate adaptation / Edge computing / IoT |
| Paper # | NS2016-161 |
| Date of Issue | 2017-02-23 (NS) |
| Conference Information | |
| Committee | NS / IN |
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| Conference Date | 2017/3/2(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | OKINAWA ZANPAMISAKI ROYAL HOTEL |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | General |
| Chair | Hideki Tode(Osaka Pref. Univ.) / Katsunori Yamaoka(Tokyo Inst. of Tech.) |
| Vice Chair | Yoshikatsu Okazaki(NTT) / Takuji Kishida(NTT) |
| Secretary | Yoshikatsu Okazaki(Kyushu Inst. of Tech.) / Takuji Kishida(NTT) |
| Assistant | Shohei Kamamura(NTT) / Kunitake Kaneko(Keio Univ.) / Takashi Natsume(NTT) |
| Paper Information | |
| Registration To | Technical Committee on Network Systems / Technical Committee on Information Networks |
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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 Detection and Rate Adaptation Based on Multiple Sensor Information for Video Surveillance System |
| Sub Title (in English) | |
| Keyword(1) | Video surveillance |
| Keyword(2) | Event detection |
| Keyword(3) | Rate adaptation |
| Keyword(4) | Edge computing |
| Keyword(5) | IoT |
| 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 | 2017-03-02 |
| Paper # | NS2016-161 |
| Volume (vol) | vol.116 |
| Number (no) | NS-484 |
| Page | pp.pp.25-30(NS), |
| #Pages | 6 |
| Date of Issue | 2017-02-23 (NS) |