Technical Book [In-Vehicle Cameras / Security Camera Systems] *Available for preview.
<Supervision> Jun Ota, Nara Institute of Science and Technology <Authors> Jun Ota, Nara Institute of Science and Technology Hiroo Takemura, Octo Video Research Institute Kenichi Komuro, Aisin Seiki Co., Ltd. Hitoshi Takizawa, Daihatsu Motor Co., Ltd. Keiichi Uchimura, Kumamoto University Graduate School Shinichi Yoshimura, Sony Corporation Ryota Shiratsuchi, Nissan Motor Co., Ltd. Masanobu Suzuki, StoreNet Co., Ltd. Tomochika Konno, Sony Corporation Yusaku Fujii, Gunma University Yasuo Utsunomiya, Japan Automatic Identification Systems Association Masato Kawade, Omron Corporation <Publication Date> May 28, 2007 <Format> B5 size, 199 pages <Price> 52,290 yen (including tax) * Please refer to the table of contents for applications and examples of achievements. * For detailed content, please download the catalog (brochure).
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Chapter 1: Introduction 1. Basics of Image Sensors 2. Development Trends of High-Performance Image Sensors for Automotive and Security Applications 3. Future Challenges and Prospects Chapter 2: Basic Structure and Technological Trends of Cameras 1. Basic Structure of Camera Systems 2. Color Imaging Methods 3. High-Quality Imaging Technologies 4. High-Functionality Technologies Chapter 3: Automotive Camera Application Systems and Their Practicality 1. Background of Camera Use in Vehicles 2. Required Camera Configuration for Automotive Applications 3. Automotive Reliability 4. Future Directions Chapter 4: Vehicle Recognition Methods Using Laser Radar and Monocular Image Processing 1. Overview of PCS Systems 2. Configuration of Vehicle Recognition Sensors 3. Sensor Fusion Chapter 5: Solving Registration Issues with Automotive Cameras 1. New Navigation Systems 2. PPM Algorithm 3. Experimental Results and Discussion Chapter 6: Distance Detection and Information Detection Using CMOS Sensors 1. Principles of Distance Measurement 2. ID Recognition Principles 3. Pixel-Parallel Sensors 4. Column-Parallel Sensors 5. Imaging Results Chapter 7: Lane Keep Support System 1. System Overview 2. Road Model 3. Lane Marker Detection 4. Estimation of Road Shape and Vehicle Behavior 5. Processing Results
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52,290 yen (including tax)
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Applications/Examples of results
Chapter 8: Dynamic Range Compression Recognition Support for Images 1. Dynamic Range of Surveillance Cameras 2. Current Issues with In-Vehicle Cameras 3. Adjustment of In-Vehicle Camera Settings 4. New Technologies Required for In-Vehicle Cameras Chapter 9: Network Cameras 1. What is a Network Camera? 2. Technologies Used in Network Cameras 3. Latest Technologies Chapter 10: Security Camera Systems Using PCs 1. The Concept of Citizen Networks: The Possibility of Altruism and IT for Community Safety 2. System Configuration to Realize Citizen Networks 3. Case Studies of e-Citizen Networks 4. Considerations Chapter 11: Applied Technologies for Security Information 1. Social Consensus Regarding Images Captured by Cameras 2. Surveillance Cameras 3. Social Ethics 4. Image Processing Technologies and Biometrics Technologies 5. Image Processing Technologies Used in Biometrics 6. Introduction to Finger Vein Authentication Technology Chapter 12: Embedded Face Recognition Technology and Its Security Application Potential 1. Face Recognition Technologies Required in a Ubiquitous Network Society 2. Technologies for Embedded Face Detection Sensors 3. Technologies for Embedded Face Authentication Sensors 4. Technologies for Embedded Face State Sensors 5. Applications of Embedded Face Recognition Technology
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