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Proceedings International Workshop on Mobile Mapping Technology

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Bibliographic data

fullscreen: Proceedings International Workshop on Mobile Mapping Technology

Monograph

Persistent identifier:
856671290
Author:
Li, Rongxing
Title:
Proceedings International Workshop on Mobile Mapping Technology
Sub title:
April 21 - 23, 1999, Bangkok, Thailand
Scope:
1 Online-Ressource (Getr. Zählung [ca. 400 Seiten])
Year of publication:
1999
Place of publication:
London
Publisher of the original:
RICS Books
Identifier (digital):
856671290
Illustration:
Illustrationen, Diagramme, Karten
Language:
English
Usage licence:
Attribution 4.0 International (CC BY 4.0)
Publisher of the digital copy:
Technische Informationsbibliothek Hannover
Place of publication of the digital copy:
Hannover
Year of publication of the original:
2016
Document type:
Monograph
Collection:
Earth sciences

Chapter

Title:
[Session 7A: Automatic Object Extraction and Recognition]
Document type:
Monograph
Structure type:
Chapter

Chapter

Title:
Traffic Sign Detection from Image Sequences. W. B. Tong, J. Y. Hervé, P. Cohen.
Document type:
Monograph
Structure type:
Chapter

Contents

Table of contents

  • Proceedings International Workshop on Mobile Mapping Technology
  • Cover
  • ColorChart
  • Title page
  • Title page
  • Proceedings of International Workshop on Mobile Mapping Technology April 21-23, 1999, Maruay Garden Hotel, Bangkok, Thailand
  • Greeting from Bangkok.
  • PREFACE.
  • On behalf of the International Association of Geodesy (IAG) Working Group [...]
  • TECHNICAL PROGRAM.
  • [Session 1: Mobile Mapping (1)]
  • A ROBUST METHOD FOR REGISTERING 2.5D LASER RANGE IMAGES OF URBAN OBJECTS. Huijing ZHAO, Ryosuke SHIBASAKI.
  • AN INTELLIGENT MOBILE MAPPING SYSTEM. Naser El-Sheimy, Mike Chapman, and C. Tao.
  • A Mobile Mapping System Based on GPS, GIS and Multi-sensor. Deren Li.
  • AIRPORT DATA BASIS FOR TAGSY GUIDANCE SYSTEMS. W. Möhlenbrink, R. Bettermann.
  • INTEGRATING TECHNOLOGIES: DGPS, DEAD RECKONING AND MAP MATCHING. T. A. Hailes.
  • [Session 2: Mobile Mapping (2)]
  • FILTERALGORITHMS FOR OPTIMAL DETERMINATION OF POSITION AND ATTITUDE OF THE MOBILE MAPPING SYSTEM KISS. H. Sternberg, W. Caspary and H. Heister.
  • DEVELOPMENT OF AN INTEGRATED SYSTEM FOR MAPPING ROAD WIDTH USING DIGITAL VIDEO AND GLOBAL POSITIONING SYSTEM. Shanmugam Ganeshkumar, Kiyoshi HONDA, Shunji MURAI.
  • DIRECT PLATFORM ORIENTATION IN AERIAL AND LAND-BASED MAPPING PRACTICE. Dorota A. Grejner-Brzezinska, Charles K. Toth and Edward Oshel.
  • TOWARDS AUTOMATED PROCESSING OF MOBILE MAPPING IMAGE SEQUENCES. C. Tao, M. A. Chapman, and N. El-Sheimy, B. Chaplin.
  • [Poster Session (1) on Airborne & Spaceborne Remote Sensing (JARS)]
  • Generation of Digital Elevation Model derived from JERS1 SAR Interferometry. Mitsuharu TOKUNAGA.
  • GENERALIZATION TECHNIQUES FOR LAYERED NEURAL NETWORKS IN THE CLASSIFICATION OF REMOTELY SENSED IMAGES. Eihan SHIMIZU and Morito TSUTSUMI, Le Van TRUNG.
  • THE CRANES' NESTING ANALYSIS USING GIS - LANDSCAPE ECOLOGICAL APPLICATIONS -. Koichi HIRATA, Hiroshi MURAKAMI.
  • INTERPRETABILITY OF GEOGRAPHIC INFORMATION FROM HIGH RESOLUTION SATELLITE IMAGES. Toshiaki Hashimoto.
  • Reassessment of Todaro's Migration Model to Incorporate Socioeconomic and Natural Resource Environment by Using Remote Sensing and GIS: A Case of Thailand. Bhuwneshwar Prasad SAH, Eihan SHIMIZU and Morito TSUTSUMI.
  • LAND COVER OF ASIA. Ryutaro Tateishi.
  • Development of Drain Direction Model based onGTOPO30 and Global Data Sets. Shiro Ochi and Ryosuke Shibasaki.
  • [Session 3: Kinematic Real-time Positioning]
  • Positioning Principles and Accuracy of Airborne Laser- Ranging & Multispectral-lmaging Mapping System. Liu Shaochuang, You Hongjian, Xiang Maosheng, Liu Tong, Li Shukai.
  • Accuracy Assessment and Improvement for Level Survey using Real Time Kinematic (RTK) GPS. Dinesh Manandhar, Kiyoshi Honda, Shunji Murai, Sachio Kubo, Masahiro Yonemura.
  • Airborne Mapping System with GPS-supported Aerotriangulation. Deren Li, Xiuxiao Yuan.
  • [Session 4: Sensor Integration and Calibration]
  • The Calibration of Imaging Sensors Integrated into a Rapid Route Mapping System. C. S. Fraser, A. M. Judd.
  • CALIBRATING A ZOOM LENS CCD CAMERA FOR A TERRESTRIAL IMAGE BASED SURVEY SYSTEM. Y. D. Huang and D. Chen.
  • METHOD FOR ACCURATE CAMERA ORIENTATION FOR AUTOMOBILE PHOTOGRAMMETRIC SYSTEM. V. A. Knyaz, S. Yu. Zheltov.
  • MULTI-SENSOR MAP MATCHING CONCEPTS FOR POSITIONING OF ROAD AND RAIL VEHICLES. R. Czommer, W. Möhlenbrink.
  • SENSOR INTEGRATION AND CALIBRATION OF DIGITAL AIRBORNE THREE-LINE CAMERA SYSTEMS. Michael Cramer, Dirk Stallmann and Norbert Haala.
  • [Session 5A: Applications (1)]
  • Application of Photogrammetric Image Data for Roadway Construction. Guangping He.
  • SURVEYING AND MAPPING OF URBAN STREETS BY PHOTOGRAMMETRIC TRAVERSE. A. R. SILVA, J. C. BATISTA, R. A. OLIVEIRA, P. O. CAMARGO and J. F. C. SILVA.
  • [Session 5B: Real-time Imaging (ARIDA)]
  • ESTIMATION OF ACCURACY OF AIRBORNE LASER PROFILING. Koukichi Kimura, Teruvoshi Fujiwara, Yukihide Akiyama.
  • CRACK SITUATION GRASP OF DIGITAL IMAGE METHOD. Tatuhide NAKANE, Hisasi TAKAGI, Masaharu OZAWA.
  • Mobile Mapping Technologies for Safety Driving Assistance in ITS. Yutaka Shimogaki, Tooru Kitagawa, Yoshiki Yamano, Katunori Takahashi.
  • [Session 6A: Applications (2)]
  • Virtual Reality Model Created from Mobile Mapping Data as Interface to GIS. Krzysztof Gajdamowicz.
  • IMPROVED DEM EXTRACTION TECHNIQUES - COMBINING LIDAR DATA WITH DIRECT DIGITAL GPS/INS ORIENTED IMAGERY. Charles K. Toth and Dorota A. Grejner-Brzezinska.
  • Focal Plane Image Assembly of Subpixel. Si-Dong Zhong, Tian chan Mei.
  • [Session 6B: Real-time Imaging (ARIDA)]
  • A Tracking System for Construction vehicles with DGPS and RTK-GPS. Shun'ichi OHTSU, Tomonori TAKADA, Tatsunori SADA.
  • A METHOD OF ROAD REPRESENTATION IN 3D MAPPING TECHNOLOGY. Tsukasa Hosomura.
  • Fundamental Study on Ground-Based Sensor Integration for Spatial Data Acquisition. Mitsunori YOSHIMURA, Tetsuji ANAI, Hirofumi CHIKATSU, Ryosuke SHIBASAKI.
  • Fundamental Study on Development and Application of the Local Positioning System using Accelerometer and Gyroscope. Toshio KOIZUMI, Yasuyuki SHIRAI, Atsuro TAKEMOTO.
  • [Poster Session (2) on Imaging Sensing (ARIDA)]
  • THE METHOD OF Field INVESTIGATIONS USING DIGITAL IMAGE. Toshiaki Taguchi, Kosuke Tsuru, Hirofumi Chikatsu.
  • PERFORMANCE OF ARTIFICIAL RETINA CAMERA AND ITS APPLICATION. Yoichi KUNII, Hirofumi CHIKATSU.
  • MOTION ANALYSIS ON THE CONSTRUCTION PLANT USING SEQUENTIAL IMAGES. Sosuke YOSHIDA, Hirofumi CHIKATSU.
  • AUTO-TRACKING AND 3D MEASUREMENT FOR MOVING OBJECT USING VIDEO THEODOLITE. Tsutomu KAKIUCHI, Hirofumi CHIKATSU.
  • Generation of 3D View Map Using by Raster Base Data Processing. Kunihiko Ono, Shunji Murai, Vivarad Phonekeo and Shigetaka Yasue.
  • REMAPPING OF HISTORICAL MAPS USING MATHEMATICAL MORPHOLOGY AND ITS APPLICATION. Nobuhiro YAMADA, Hirofumi CHIKATSU.
  • A Comparative Study on Techniques for Optical Flow Estimation : On the Application to Vehicle Motion Analysis. Takashi FUSE and Eihan SHIMIZU.
  • Dynamic Analysis of Human Motion using Digital Video Camera mounted on Video Theodolite. Tetsuji ANAI, Hirofumi CHIKATSU.
  • A New Measurement System of Settlement At Airports Using GPS and Laser Level. Bunji Shigematsu.
  • [Session 7A: Automatic Object Extraction and Recognition]
  • INTEGRATION OF FEATURE AND SIGNAL MATCHING FOR OBJECT SURFACE EXTRACTION. Pakom Apaphant, James Bethel.
  • FEATURE EXTRACTION FROM MOBILE MAPPING IMAGERY SEQUENCES USING GEOMETRIC CONSTRAINTS. Fei Ma and Ron Li.
  • A MULTILAYER HOPFIELD NEURAL NETWORK FOR 3-D OBJECT RECOGNITION. Zhuowen Tu and Ron Li.
  • DATABASE GUIDED VERIFICATION AND UPDATING OF TRANSPORTATION OBJECTS WITH VERTICAL LINE FEATURES FROM MOBILE MAPPING IMAGE SEQUENCES. C. Tao.
  • Traffic Sign Detection from Image Sequences. W. B. Tong, J. Y. Hervé, P. Cohen.
  • ROBUSTNESS TEST TO OBJECT POSITIONING IN PROJECTIVE SPACE. Xingwen Wang, Deren Li.
  • [Session 7B: Mobile Mapping for Spatial Data Acquisition]
  • AUTOMATIC MEASUREMENT OF ROAD WIDTHS IN COLOUR STEREO SEQUENCES ACQUIRED BY A MOBILE MAPPING SYSTEM. Krzysztof Gajdamowicz.
  • Wearable Computing, Wireless Communication & Knowledge Discovery for Mobile Data Acquisition & Analysis. Klaus Brinkkötter-Runde and Ubbo Visser.
  • Development of a Low-Cost DGPS/DR System for Vehicle Tracking. Xiufeng He, Thor I. Fossen and Yongqi Chen.
  • OFF Method and Its Practice on Airborne GPS Data Processing for Photogrammetry. Chen Xiaoming, Liu Jiyu, Li Deren.
  • List of Registered Participants
  • Cover

Full text

7A-5-2 
Although there is an extensive literature covering 
traffic sign detectionFrecognition and localization with 
potential applications in intelligent transportation sys- 
temrdevelopment of a practical automated traffic sign 
recognition system remains a challenge. Many factors 
affect traffic sign detection. Rust and faded paintr 
sign bendingr weather conditions (light or overcast)T 
shadowrocclusionsrreflection of sunlight motionrand 
vibrations of the van affect image quality. And within 
an imagerif the size of a sign is too smalirexisting vi 
sion algorithms may treat the sign as noise. While 
many techniques for color segmentation have been 
suggested!? segmentation remains difficult due to the 
abundance of colors in traffic scenes and the influence 
of weatherHighting conditions and shadows. 
Most developed algorithms detect signs from image 
sequences using color segmentation and shape extrac- 
tionrthat isl?edge detectionFHough transformPor tem 
plate matching. They then match extracted features 
with traffic sign models to recognize and identify road 
signs. 
Traffic signs consist mainly of artificial pure colors: 
redT oranger yellowr brownr greenr black and white. 
We therefore propose a fuzzy color segmentation algo 
rithm to extract these artificial colors. In one traffic 
sign libraryPabout one-sixth are black and whiterfor 
instancer a white background with black text or ar 
rows or a black background with white text or arrows. 
To detect white and black traffic signsTone visual cue 
is shape information and another is text information. 
We make use of text regions (the high contrast be 
tween foreground symbols and a panel background) 
to reduce the search space for black and white sign 
detection. Moreoverrtraffic signs are usually mounted 
on poles or lamp posts. This suggests searching for 
vertical poles or lines and then searching for possible 
traffic signs on them. 
In the next section 3Tan architecture for the auto 
mated traffic signs recognition system for mobile map 
ping is depicted. In section 4Ta color segmentation al 
gorithm and a blob analysis algorithm are presented. 
In section 5rshape analysis based on Fourier descrip 
tors is made. In section 6Tan algorithm for text re 
gions extraction based on texture energy is discussed. 
3 Overview of the traffics sign 
recognition system 
The traffic sign detectionTpredicationlYecognition and 
location system depicted in Figure 2 consists of four 
modules: (i) sign detectionr (ii) sign predictionT (iii) 
Figure 2: A traffic sign recognition system 
sign recognitionTand (iv) sign location. This article 
describes an implementation of the first one. 
4 Color segmentation algorithm 
To overcome difficulties of designing a general color 
segmentation algorithm [6]r we give a special algo 
rithm to extract color regions from an image. As noted 
earlierrtraffic signs are mainly composed of artificial 
redT orangeTyellowr greenT and blue colors. In con 
trast to segmenting a natural scene with millions of 
possible colorsPwe need only focus on artificial colors 
to improve traffic sign detection. 
4.1 Color space 
A color can be defined as a mixture of tristimulus 
components. Many color representation spaces are 
in use todayrsuch asTRGBTHSLTand La*b*. Be 
cause of lighting conditionsrsigns under shadows are 
different from non-shadowed ones. Normalized RGB 
color space partially overcomes this drawback. It does 
not give an invariant uniform shifting of RGB compo 
nents. Other color spaces are often considered. They 
consist of chromatic components (hue and saturation) 
and an intensity component. Chromatic components 
are noise sensitive. For exampleTin the HSL color 
spaceTthe H and S values of black and white traffic 
signs are very sensitive to lighting conditions.
	        

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