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Special Interest Group on Computer Vision and Image Media (IPSJ-CVIM) (Searched in: 2019)
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Search Results: Keywords 'from:2019-05-30 to:2019-05-30'
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[Go to Official IPSJ-CVIM Homepage] |
Search Results: Conference Papers |
Conference Papers (Available on Advance Programs) (Sort by: Date Ascending) |
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Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
PRMU, IPSJ-CVIM |
2019-05-30 10:50 |
Tokyo |
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Calving sign detection system with cattle physical feature extraction from video frames Ryosuke Hyodo, Kazuma Sugawara (Waseda Univ.), Teppei Nakano, Makoto Akabane (Waseda Univ./iflab, inc.), Tetsunori Kobayashi, Tetsuji Ogawa (Waseda Univ.) PRMU2019-1 |
A calving sign detection system using cows' state-based and motion-based features is successfully designed. The develop... [more] |
PRMU2019-1 pp.1-6 |
PRMU, IPSJ-CVIM |
2019-05-30 11:05 |
Tokyo |
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Suppression of False Alarms of Video Beef Cattle Calving Detection System Using Crowdsourcing for Rapid Deployment Yusuke Okimoto, Susumu Saito (Waseda Univ.), Teppei nakano, Makoto Akabane (Waseda Univ./iflab, inc.), Tetsunori Kobayashi, Tetsuji Ogawa (Waseda Univ.) PRMU2019-2 |
For rapid deployment of the beef cattle calving detection system by video, it is verified whether the system with crowds... [more] |
PRMU2019-2 pp.7-12 |
PRMU, IPSJ-CVIM |
2019-05-30 11:20 |
Tokyo |
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Daily Fish Catch Forecasting For Fixed Shore Net Fishing Using State Space Model Describing Probabilistic Behavior of Fish Inside Net Yuya Kokaki, Naohiro Tawara, Tetsunori Kobayashi, Kazuo Hashimoto (Waseda Univ.), Masayoshi Hukushima, Akira Idoue (KDDI Research), Ogawa Tetsuji (Waseda Univ.) PRMU2019-3 |
A state space model that incorporates knowledge on fixed shore net fishing was developed and suc- cessfully applied to d... [more] |
PRMU2019-3 pp.13-18 |
PRMU, IPSJ-CVIM |
2019-05-30 10:50 |
Tokyo |
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Estimating areas in images for grasping an object by a three-fingered robot hand Atsuki Tsukamoto, Ryosuke Kubota, Kiyoshi Kogure (KIT) PRMU2019-4 |
This paper proposes a method for estimation areas for grasping an object by a three-fingered robot hand. The method take... [more] |
PRMU2019-4 pp.19-24 |
PRMU, IPSJ-CVIM |
2019-05-30 11:05 |
Tokyo |
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Shot detection in a tennis game using visual informtion Shuto Horie (Keio Univ.), Yuji Sato, Junko Furuyama, Masamoto Tanabiki (Panasonic), Yoshimitsu Aoki (Keio Univ.) PRMU2019-5 |
(To be available after the conference date) [more] |
PRMU2019-5 pp.25-30 |
PRMU, IPSJ-CVIM |
2019-05-30 11:20 |
Tokyo |
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A Preliminary Study on Integrating Camera and LiDAR Pedestrian Detections Adaptive to Surrounding Environmental Conditions Haruya Kyutoku, Yasutomo Kawanishi, Daisuke Deguchi, Ichiro Ide (Nagoya Univ.), Kazuki Kato (DENSO CORPORATION), Hiroshi Murase (Nagoya Univ.) PRMU2019-6 |
Results of pedestrian detectors from in-vehicle sensors still have room for improvement in real environments.
Therefore... [more] |
PRMU2019-6 pp.31-36 |
PRMU, IPSJ-CVIM |
2019-05-31 09:40 |
Tokyo |
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Study on feature extraction from leaf-scale plant images Kuniaki Uto (Tokyo Tech), Mauro Dalla Mura, Jocelyn Chanussot (Grenoble INP), Koichi Shinoda (Tokyo Tech) PRMU2019-7 |
With the advent of an unmanned aerial vehicle (UAV) and sensing technologies, it is possible to acquire leaf-scale aeria... [more] |
PRMU2019-7 pp.259-264 |
PRMU, IPSJ-CVIM |
2019-05-31 09:55 |
Tokyo |
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Image Based Tiler number estimation by Using Pretext Task Yuzuko Utsumi, Koichiro Nakamura, Masakazu Iwamura, Koichi Kise (OPU) PRMU2019-8 |
(To be available after the conference date) [more] |
PRMU2019-8 pp.265-270 |
PRMU, IPSJ-CVIM |
2019-05-31 09:40 |
Tokyo |
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PRMU2019-9 |
[more] |
PRMU2019-9 pp.271-275 |
PRMU, IPSJ-CVIM |
2019-05-31 09:50 |
Tokyo |
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PRMU2019-10 |
(To be available after the conference date) [more] |
PRMU2019-10 pp.277-281 |
PRMU, IPSJ-CVIM |
2019-05-31 10:00 |
Tokyo |
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Cross-modal Search using Visually Grounded Multilingual Speech Signal Yasunori Ohishi, Akisato Kimura, Takahito Kawanishi, Kashino Kunio (NTT), David Harwath, James Glass (MIT) PRMU2019-11 |
We evaluate a deep neural network model capable of learning to associate images and audio captions describing the conten... [more] |
PRMU2019-11 pp.283-288 |
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