| Presentation | 2018-09-21 [Short Paper] Kinect RGB-D Hand Gesture Image Database for Deep Learning-Based Gesture Recognition Jiaqing Liu, Kotaro Furusawa, Seiju Tsujinaga, Tomoko Tateyama, Yutaro Iwamoto, YenWei Chen, |
|---|---|
| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | We present a new dataset named the MaHG-RGBD, a multi-angle view hand gesture for deep learning-based gesture recognition. This dataset has the following features compared with the existing ones. Firstly, both depth and color of segmented hand region images are recorded at the same time. Secondly, by using two camera views to capture hand gestures: our dataset allows researchers to combine information from multiple angles to overcome the ambiguity in gestures recognition. Thirdly, the various of different gestures classes: a total of 25 classes. Finally, we evaluate the recognition accuracy of 25 different hand gestures using deep learning methods to form a benchmark on this dataset. The MaHG-RGBD dataset is available at the link: http://www.iipl.is.ritsumei.ac.jp/MaHG-RGBD. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | R-GBD Datasethand gesturesmulti-angle viewdeep learning |
| Paper # | PRMU2018-58,IBISML2018-35 |
| Date of Issue | 2018-09-13 (PRMU, IBISML) |
| Conference Information | |
| Committee | PRMU / IBISML / IPSJ-CVIM |
|---|---|
| Conference Date | 2018/9/20(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Shinichi Sato(NII) / Hisashi Kashima(Kyoto Univ.) |
| Vice Chair | Yoshihisa Ijiri(Omron) / Toru Tamaki(Hiroshima Univ.) / Masashi Sugiyama(Univ. of Tokyo) / Koji Tsuda(Univ. of Tokyo) |
| Secretary | Yoshihisa Ijiri(NEC) / Toru Tamaki(Osaka Univ.) / Masashi Sugiyama(Nagoya Inst. of Tech.) / Koji Tsuda(AIST) |
| Assistant | Go Irie(NTT) / Yoshitaka Ushiku(Univ. of Tokyo) / Tomoharu Iwata(NTT) / Shigeyuki Oba(Kyoto Univ.) |
| Paper Information | |
| Registration To | Technical Committee on Pattern Recognition and Media Understanding / Technical Committee on Infomation-Based Induction Sciences and Machine Learning / Special Interest Group on Computer Vision and Image Media |
|---|---|
| Language | ENG |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | [Short Paper] Kinect RGB-D Hand Gesture Image Database for Deep Learning-Based Gesture Recognition |
| Sub Title (in English) | |
| Keyword(1) | R-GBD Datasethand gesturesmulti-angle viewdeep learning |
| 1st Author's Name | Jiaqing Liu |
| 1st Author's Affiliation | Ritsumeikan University(Ritsu) |
| 2nd Author's Name | Kotaro Furusawa |
| 2nd Author's Affiliation | Ritsumeikan University(Ritsu) |
| 3rd Author's Name | Seiju Tsujinaga |
| 3rd Author's Affiliation | Ritsumeikan University(Ritsu) |
| 4th Author's Name | Tomoko Tateyama |
| 4th Author's Affiliation | Hiroshima Institute of Tech(Hiroshima) |
| 5th Author's Name | Yutaro Iwamoto |
| 5th Author's Affiliation | Ritsumeikan University(Ritsu) |
| 6th Author's Name | YenWei Chen |
| 6th Author's Affiliation | Ritsumeikan University(Ritsu) |
| Date | 2018-09-21 |
| Paper # | PRMU2018-58,IBISML2018-35 |
| Volume (vol) | vol.118 |
| Number (no) | PRMU-219,IBISML-220 |
| Page | pp.pp.141-142(PRMU), pp.141-142(IBISML), |
| #Pages | 2 |
| Date of Issue | 2018-09-13 (PRMU, IBISML) |