研究者詳細 - 榎田　修一

論文 - 榎田　修一

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Evaluating Learning Potential with Internal States in Deep Neural Networks 査読有り国際誌

Shogo Takasaki, Shuichi Enokida

The 19th International Conference on Computer Vision Theory and Applications (VISAPP2024) 2024年02月

Relationship Between Semantic Segmentation Model and Additional Features for 3D Point Clouds Obtained from on-Vehicle LIDAR 査読有り国際誌

Hisato Hashimoto, Shuichi Enokida

The 19th International Conference on Computer Vision Theory and Applications (VISAPP2024) 2024年02月

計測車両を用いた自動運転の安全性評価に関する実交通流データ収集技術の現状と今後の課題

平山泰司, 大谷健登, 榎田修一, 松原宏樹

JARI Research Journal 2024年02月

深層学習による人物再同定における損失関数への重み付け手法査読有り

清水雄哉, 榎田修一

画像電子学会誌 ( 一般社団法人　画像電子学会 ) 53 ( 1 ) 28 - 32 2024年01月

Memory-Efficient Implementation of GMM-MRCoHOG for Human Recognition Hardware 査読有り国際誌

Ryogo Takemoto, Yuya Nagamine, Kazuki Yoshihiro, Masatoshi Shibata, Hideo Yamada, Yuichiro Tanaka, Shuichi Enokida, and Hakaru Tamukoh

The 18th International Conference on Computer Vision Theory and Applications (VISAPP2023) 2023年02月

Hardware-Oriented Algorithm for Human Detection using GMM-MRCoHOG Features 査読有り国際誌

Ryogo Takemoto, Yuya Nagamine, Kazuki Yoshihiro, Masatoshi Shibata, Hideo Yamada, Yuichiro Tanaka, Shuichi Enokida, Hakaru Tamukoh

17th International Conference on Computer Vision Theory and Applications (VISAPP2022) 749 - 757 2022年02月

3D MAP GENERATION WITH SHAPE AND APPEARANCE INFORMATION, 査読有り国際誌

Taro Yamada, Shuichi Enokida

17th International Conference on Computer Vision Theory and Applications (VISAPP2022) 743 - 748 2022年02月

Robust 3D Object Detection for Moving Objects Based on PointPillars 査読有り

Ryota Nakamura, Shuichi Enokida

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) Workshops 611 - 617 2022年01月

Traffic situation analysis between Vehicle and Motorcycle safety at Malaysia 査読有り国際誌

Hisashi Imanaga, Keisuke Fukuyama, Azhar Hamzah, Shuichi Enokida, Hajime Ishida

FISITA World Congress 2021 - Technical Programme 2021年09月

A Dense Optical Flow Estimation Based on Dynamical System Approach under Intensity Variation Violating the Conservation Law 査読有り

Nakamura A., Sebe N., Enokida S., Nobuyama E.

2021 60th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2021 472 - 477 2021年09月

記述言語：英語掲載種別：研究論文（国際会議プロシーディングス）

Optical flow is a vector that represents the motion of objects in images. To estimate the optical flow, most of the optical flow estimation methods assume the intensity conservation law. The estimation methods based on a dynamical system approach [3], [4] also use the same assumption. Therefore, these methods might not be able to estimate correctly if the intensity conservation law is violated by various factors. A estimation model at a pixel considering the illumination change was proposed in [7] to improve the estimation accuracy in such situations. This paper proposes a new dense estimation model with the intensity correction quantity to overcome the estimation in the illumination change and the occlusion. Furthermore, this paper proposes to estimate the optical flow with the Kalman filter or the Kalman filter with the sparse constraint to correction quantity. Using the sparse constraint, the correction quantity becomes non-zero only near the flow boundaries. Accordingly, the improvement of estimation accuracy can expect. The effectiveness of the proposed models is demonstrated through numerical examples.

Scopus

その他リンク： https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85117685440&origin=inward

交通安全対策を念頭に置いたマレーシアの交通実態把握（第2報）査読有り

川越麻生, 今長久, 榎田修一, Azhar Bin Hamzah, 石田肇

自動車技術会論文集 ( 公益社団法人自動車技術会 ) 52 ( 3 ) 707 - 713 2021年04月

記述言語：日本語掲載種別：研究論文（学術雑誌）

本研究は，二輪車事故防止に有用となる四輪車と二輪車が混走する交通環境実態を定量的に把握することを目的に実施した．本報では，マレーシアにおいて四輪車対二輪車の死亡事故件数が多い，追突と正面衝突に至る可能性がある二輪車の挙動を対象に，マレーシア国内で取得した映像データを解析し，それぞれの特徴を分析した．

DOI： 10.11351/jsaeronbun.52.707

CiNii Article

CiNii Research

A Hardware-oriented Algorithm of GMM-MRCoHOG for High-performance Human Detection by an FPGA 査読有り国際誌

Yuya Nagamine, Kazuki Yoshihiro, Masatoshi Shibata, Hideo Yamada, Shuichi Enokida, Hakaru Tamukoh

International Workshop on Advanced Image Technology 2021 (IWAIT2021) 2021年01月

An FPGA Implementation of Human Recognition using MRCoHOG features 査読有り国際誌

Yuya Nagamine, Kazuki Yoshihiro, Masatoshi Shibata, Hideo Yamada, Shuichi Enokida, Hakaru Tamukoh

8th International Symposium on Applied Engineering and Science (SAES2020) 2020年12月

Research on Feature descriptors for vehicle detection by LIDAR 査読有り

Takuma Oiwane, Priscilla Indira Osa, Shuichi Enokida

5th International Conference on Machine Vision and Machine Learning (MVML 2019) 107-1 - 107-8 2019年08月

歩行者検出における混合正規分布を用いた状態空間の自律構成法査読有り

道下裕也, 東嵩士, 柴田雅聡, 村松竜弥, 山田英夫, 榎田修一

電気学会論文誌Ｃ 138 ( 9 ) 1100 - 1107 2018年09月

Improving the Accuracy of Dynamical System Based Optical Flow Estimation by Central Difference Discretization of Time Derivative 査読有り

Yuta Akiyoshi, Noboru Sebe, Shuichi Enokida, Eitaku Nobuyama

4th International Conference on Machine Vision and Machine Learning (MVML'18) 107-1 - 107-7 2018年08月

Pedestrian Detection based on Gaussian Mixture Model Multiresolution CoHOG 査読有り

Shuto Higashi, Yuya Michishita, Shuichi Enokida, Masatoshi Shibata, Hideo Yamada

4th International Conference on Machine Vision and Machine Learning (MVML'18) 100-1 - 100-9 2018年08月

LIDAR を用いた歩行者検出のためのReal AdaBoost に基づく特徴選択査読有り

髙田智, 榎田修一

自動車技術会論文集 49 ( 4 ) 799 - 805 2018年07月

カーロボ連携大学院での自動車・ロボットの知能化高度化に向けた専門人材育成査読有り

森江隆, 石井和男, 我妻広明, 田向権, 榎田修一, 齊藤剛史, 松永良一, 松波勲, 大貝晴俊

工学教育 65 ( 4 ) 51 - 56 2017年08月

Simultaneous Estimation of Optical Flow and its Boundaries based on the dynamical system model 査読有り

Yuya Michishita, Noboru Sebe, Shuichi Enokida, Eitaku Nobuyama

12th International Joint Conference on Computer Vision Theory and Applications (VISAPP2017) 377 - 385 2017年02月

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