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1. (WO2019026890) IMAGE DATA GENERATION DEVICE, IMAGE RECOGNITION DEVICE, IMAGE DATA GENERATION PROGRAM, AND IMAGE RECOGNITION PROGRAM
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Pub. No.:
WO/2019/026890
International Application No.:
PCT/JP2018/028606
Publication Date:
07.02.2019
International Filing Date:
31.07.2018
IPC:
G06T 7/00
(2017.01)
G
PHYSICS
06
COMPUTING; CALCULATING; COUNTING
T
IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
7
Image analysis, e.g. from bit-mapped to non bit-mapped
Applicants:
株式会社エクォス・リサーチ EQUOS RESEARCH CO., LTD.
[JP/JP]; 東京都千代田区外神田1丁目18番13号 秋葉原ダイビル7階 Akihabara Daibiru 7F, 18-13, Sotokanda 1-chome, Chiyoda-ku, Tokyo 1010021, JP
国立大学法人九州工業大学 KYUSHU INSTITUTE OF TECHNOLOGY
[JP/JP]; 福岡県北九州市戸畑区仙水町1番1号 1-1, Sensui-cho, Tobata-ku, Kitakyushu-shi, Fukuoka 8048550, JP
Inventors:
山田 英夫 YAMADA Hideo
; JP
村松 竜弥 MURAMATSU Ryuya
; JP
柴田 雅聡 SHIBATA Masatoshi
; JP
榎田 修一 ENOKIDA Shuichi
; JP
Agent:
仲野 均 NAKANO Hitoshi
; JP
川井 隆 KAWAI Takashi
; JP
Priority Data:
2017-148011
31.07.2017
JP
2018-035744
28.02.2018
JP
Title
(EN)
IMAGE DATA GENERATION DEVICE, IMAGE RECOGNITION DEVICE, IMAGE DATA GENERATION PROGRAM, AND IMAGE RECOGNITION PROGRAM
(FR)
DISPOSITIF DE GÉNÉRATION DE DONNÉES D'IMAGE, DISPOSITIF DE RECONNAISSANCE D'IMAGE, PROGRAMME DE GÉNÉRATION DE DONNÉES D'IMAGE, ET PROGRAMME DE RECONNAISSANCE D'IMAGE
(JA)
画像データ生成装置、画像認識装置、画像データ生成プログラム、及び画像認識プログラム
Abstract:
(EN)
The purpose of the present invention is to recognize from images a dynamic object to be recognized. Through use of a spatio-temporal image data generation unit 2, an image recognition device 1 performs a Hilbert scan of frame image data 6 constituting moving-image data 4 and generates unidimensional spatial image data 7, and furthermore arrays the unidimensional spatial image data 7 in a time direction and generates two-dimensional spatio-temporal image data 8 that holds spatial information and temporal information. In this manner, the image recognition device 1 converts the moving-image data 4 into the two-dimensional spatio-temporal image data 8 while holding the spatial information and temporal information. Next, through use of a CNN unit, the image recognition device 1 performs a convolution process in which a two-dimensional filter is used on the spatio-temporal image data 8 and recognizes from the image the behavior of a pedestrian who is the object to be recognized. In this manner, the image recognition device 1 can perform behavioral recognition of a pedestrian that requires a three-dimensional analysis consisting of two dimensions for space and one dimension for time, and estimate the state of the pedestrian by means of the image recognition process of a two-dimensional image by CNN.
(FR)
L'objet de la présente invention est de reconnaître, à partir d'images, un objet dynamique à reconnaître. Grâce à l'utilisation d'une unité de génération de données d'image spatio-temporelles (2), un dispositif de reconnaissance d'image (1) effectue un balayage de Hilbert de données d'image de trame (6) constituant des données d'image animée (4) et génère des données d'image spatiale unidimensionnelles (7), et en outre arrange des données d'image spatiale unidimensionnelles (7) dans une direction temporelle et génère des données d'image spatio-temporelles bidimensionnelles (8) qui contiennent des informations spatiales et des informations temporelles. Ainsi, le dispositif de reconnaissance d'image (1) convertit les données d'image animée (4) en données d'image spatio-temporelles bidimensionnelles (8) tout en maintenant les informations spatiales et les informations temporelles. Ensuite, par l'utilisation d'une unité CNN, le dispositif de reconnaissance d'image (1) effectue un processus de convolution dans lequel un filtre bidimensionnel est utilisé sur les données d'image spatio-temporelles (8) et reconnaît à partir de l'image le comportement d'un piéton qui est l'objet à reconnaître. Ainsi, le dispositif de reconnaissance d'image (1) peut effectuer une reconnaissance comportementale d'un piéton qui nécessite une analyse tridimensionnelle constituée de deux dimensions pour l'espace et une dimension pour le temps, et estimer l'état du piéton au moyen du processus de reconnaissance d'image d'une image bidimensionnelle par CNN.
(JA)
動的な認識対象を画像認識することを目的とする。 画像認識装置1は、時空間画像データ生成部2によって、動画データ4を構成するフレーム画像データ6をヒルベルトスキャンして1次元空間画像データ7を生成し、更に1次元空間画像データ7を時間方向に配列して空間的情報と時間的情報を保持した2次元の時空間画像データ8を生成する。このように画像認識装置1は、空間的情報と時間的情報を保持しつつ、動画データ4を2次元の時空間画像データ8に画像変換する。次に、画像認識装置1は、CNN部3によって、時空間画像データ8に対して2次元フィルタを用いた畳み込み処理を行い、認識対象である歩行者の行動を画像認識する。このように、画像認識装置1は、空間2次元、時間1次元の3次元の解析を要する歩行者の行動認識を、2次元画像のCNNによる画像認識処理により行い、歩行者の状態を推定できる。
Designated States:
AE, AG, AL, AM, AO, AT, AU, AZ, BA, BB, BG, BH, BN, BR, BW, BY, BZ, CA, CH, CL, CN, CO, CR, CU, CZ, DE, DJ, DK, DM, DO, DZ, EC, EE, EG, ES, FI, GB, GD, GE, GH, GM, GT, HN, HR, HU, ID, IL, IN, IR, IS, JO, KE, KG, KH, KN, KP, KR, KW, KZ, LA, LC, LK, LR, LS, LU, LY, MA, MD, ME, MG, MK, MN, MW, MX, MY, MZ, NA, NG, NI, NO, NZ, OM, PA, PE, PG, PH, PL, PT, QA, RO, RS, RU, RW, SA, SC, SD, SE, SG, SK, SL, SM, ST, SV, SY, TH, TJ, TM, TN, TR, TT, TZ, UA, UG, US, UZ, VC, VN, ZA, ZM, ZW
African Regional Intellectual Property Organization (ARIPO) (BW, GH, GM, KE, LR, LS, MW, MZ, NA, RW, SD, SL, ST, SZ, TZ, UG, ZM, ZW)
Eurasian Patent Office (AM, AZ, BY, KG, KZ, RU, TJ, TM)
European Patent Office (EPO) (AL, AT, BE, BG, CH, CY, CZ, DE, DK, EE, ES, FI, FR, GB, GR, HR, HU, IE, IS, IT, LT, LU, LV, MC, MK, MT, NL, NO, PL, PT, RO, RS, SE, SI, SK, SM, TR)
African Intellectual Property Organization (BF, BJ, CF, CG, CI, CM, GA, GN, GQ, GW, KM, ML, MR, NE, SN, TD, TG)
Publication Language:
Japanese (
JA
)
Filing Language:
Japanese (
JA
)