Faculty Profiles - Deguchi Daisuke

Presentations -

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Accuracy improvement of pedestrian detection from in-vehicle camera images based on environment adaptation using location information

Daichi Suzuo, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase, Hiroyuki Ishida, Yoshiko Kojima

IEICE Technical Report (PRMU) 2014.3.13

Proposal of the weighted voting type co-training method for the construction of an accurate traffic sign detector

Yuji Kojima, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase

IEICE Technical Report (PRMU) 2014.3.13

車両部位検出を利用した回帰による車両台数推定

新村文郷, 出口大輔, 井手一郎, 村瀬洋

画像センシングシンポジウム(SSII) 2014.6.13

Event date： 2014

Language：Japanese Presentation type：Poster presentation

Venue：パシフィコ横浜アネックスホール

安全運転支援において，周囲の道路状況を理解することは重要である．自車周囲を走行する他車両の台数の把握は，道路状況の理解に役立つ重要な情報と考えられる．本発表では，車載カメラ画像中から車両の台数を推定するため，車両部位検出を利用した回帰による車両台数推定手法を提案する．車両を検出して台数を数える手法では，車両のオクルージョンにより検出精度が低下する問題がある．この問題を回避するため，提案手法では車両部位を検出して台数を数えるアプローチを用いる．車両の部位数から台数を推定する場合，車両の台数と部位数の関係は複雑であり，部位数から車両台数を一意に求めることは難しい．そこで，回帰を導入することにより，推定誤差の低減を図る．提案手法の有効性を確認するため，実環境で撮影した車載カメラ画像に対して提案手法を適用して車両台数を推定し，推定精度を評価した．評価の結果，提案手法は平均絶対誤差1.11 台の精度で車両台数を推定可能なことを確認した．

A Preliminary Study on Hand Waving Detection Using an Infrared Sensor Array

Chisato Toriyama, Takashi Hosono, Tomokazu Takahashi, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase

Tokai-Section Joint Conference on Electrical, Electronics, Information, and Related Engineering 2014 2014.9.8

A study on an effective camera arrangement toward gaze awareness by eye images synthesis for teleconferencing

Takuya Inoue, Tomokazu Takahashi, Takatsugu Hirayama, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase

Tokai-Section Joint Conference on Electrical, Electronics, Information, and Related Engineering 2014 2014.9.8

A study on effective features for pedestrian detection using a low resolution LIDAR

Yoshinori Ichikawa, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase, Hideaki Misawa, Utsushi Sakai

Tokai-Section Joint Conference on Electrical, Electronics, Information, and Related Engineering 2014 2014.9.8

Vision-based Vehicle Localization using a Visual Street Map with Embedded SURF Scale International conference

David Robert Wong, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase

Computer Vision in Vehicle Technology with Special Session on Micro Aerial Vehicles (CVVT2014) 2014.9.6

Event date： 2014

Language：English Presentation type：Oral presentation (general)

Venue：Zurich, Switzerland

Accurate vehicle positioning is important not only for in-car navigation systems but is also a requirement for emerging autonomous driving methods. Consumer level GPS are inaccurate in a number of driving environments such as in tunnels or areas where tall buildings cause satellite shadowing. Current vision-based methods typically rely on the integration of multiple sensors or fundamental matrix calculation which can be unstable when the baseline is small.

In this paper we present a novel visual localization method which uses a visual street map and extracted SURF image features. By monitoring the difference in scale of features matched between input images and the visual street map within a Dynamic Time Warping framework, stable localization in the direction of motion is achieved without calculation of the fundamental or essential matrices.

We present the system performance in real traffic environments. By comparing localization results with a high accuracy GPS ground truth, we demonstrate that accurate vehicle positioning is achieved.

TransifexによるSakai 翻訳環境の設定

出口大輔

Ja Sakai アンカンファレンス 2014.9.4

A preliminary study on the estimation of human orientation using an integrated RGB-D sensor

Fumito Shinmura, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase, Hironobu Fujiyoshi

IEICE Technical Report (PRMU) 2014.9.2

Spatial People Density Estimation from Multiple Viewpoints by Memory Based Regression International conference

Yoshimune Tabuchi, Tomokazu Takahashi, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase, Takayuki Kurozumi, Kunio Kashino

22nd IAPR International Conference on Pattern Recognition (ICPR2014) 2014.8.27

Event date： 2014

Language：English Presentation type：Poster presentation

Venue：Stockholm, Sweden

Crowd analysis using cameras has attracted much attention for public safety and marketing. Among techniques of the crowd analysis, we focus on spatial people density estimation which estimates the number of people for each small area in a floor region. However, spatial people density cannot be estimated accurately for an area far from the camera because of the occlusion by people in a closer area. Therefore, we propose a method using a memory based regression method with images captured from cameras from multiple viewpoints. This method is realized by looking up a table that consists of correspondences between people density maps and crowd appearances. Since the crowd appearances include situations where various occlusions occur, an estimation robust to occlusion should be realized. In an experiment, we examined the effectiveness of the proposed method.

A Study on Prediction of Driver’s Overlooking Probability by Image Processing Adaptive to Visual Fields of View

Ryunosuke Tanishige, Keisuke Doman, Daisuke Deguchi, Yoshito Mekada, Ichiro Ide, Hiroshi Murase

17th Meeting on Image Recognition & Understanding (MIRU2014) 2014.7.31

Baggage detection from multi-viewpoints human images

Yasuhiro Asai, Kento Nishibori, Tomokazu Takahashi, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase

17th Meeting on Image Recognition & Understanding (MIRU2014) 2014.7.30

拡張Census Transformを用いた道路面経時差分による車載カメラ映像からの障害物検出

久徳遙矢, 出口大輔, 高橋友和, 目加田慶人, 井手一郎, 村瀬洋

画像の認識・理解シンポジウム(MIRU) 2014.7.29

車両部位の検出数と検出信頼度を利用した回帰による車両台数推定

新村文郷, 出口大輔, 井手一郎, 村瀬洋

画像の認識・理解シンポジウム(MIRU) 2014.7.29

Human tracking via thermo-spatial sensitive histogram

Takashi Hosono, Tomokazu Takahashi, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase, Tomoyoshi Aizawa, Masato Kawade

17th Meeting on Image Recognition & Understanding (MIRU2014) 2014.7.29

Removal of Moving Objects From Frontal In-vehicle Camera Videos Based on Adaptive Selection of Reference Image

Toru Kotsuka, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase

17th Meeting on Image Recognition & Understanding (MIRU2014) 2014.7.29

A Study on Tastes Estimation of Food Based on Food Images and Ingredients

Hiroki Matsunaga, Keisuke Doman, Takatsugu Hirayama, Ichiro Ide, Daisuke Deguchi, Hiroshi Murase

IEICE Technical Report (DE) 2014.9.11

Scene duplicate detection from news videos using image-audio matching focusing on human faces International conference

Haruka Kumagai, Keisuke Doman, Ichiro Ide, Daisuke Deguchi, Hiroshi Murase

16th IEEE International Symposium on Multimedia (ISM2014) 2014.12.10

A Proposal of Encoding Marker which is Robust against Blur and easy to Detect

Norimasa Kobori, Daisuke Deguchi, Tomokazu Takahashi, Ichiro Ide, Hiroshi Murase

IEICE Technical Report (IE) 2014.12.4

Event detection based on twitter enthusiasm degree for generating a sports highlight video International conference

Keisuke Doman, Taishi Tomita, Ichiro Ide, Daisuke Deguchi, Hiroshi Murase

ACM International Multimedia Conference (ACM-MM) 2014.11.5

Event date： 2014

Language：English Presentation type：Poster presentation

Venue：Orlando, Florida, USA

This paper presents a Twitter-based event detection method based on Twitter Enthusiasm Degrees (TED)" toward generating a highlight video of a sports game. Existing methods not only depend on both languages and sports types but also often falsely detect non-target events. In contrast, the proposed method detects sports events using TEDs calculated from several kinds of string features independent of languages and sports. We applied the proposed method to actual sports games, and compared the detected events with the events present in broadcasted highlight videos, and confirmed the effectiveness and the language and sports type independencies of the proposed method."

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