The Industrial Conference on Data Mining ICDM-Leipzig was the sixth event in a series of annual events which started in 2000. We are pleased to note that the topic data mining with special emphasis on real world applications has been adopted from so many researchers all over the world into their research work. We received 156 papers from 19 different countries. The main topics are data mining in medicine and marketing, web mining, mining of images and signals, theoretical aspects of data mining, and aspects of data mining that bundles a series of different data mining applications such as intrusion detection, knowledge management, manufacturing process control, time-series mining and criminal investigations. The program committee was working hard in order to select the best papers. The acceptance rate was 30%. All these selected papers are published in this proceeding volume as long papers up to 15 pages. Besides that we installed a forum where work in progress has been presented. These papers are collected in a special poster proceeding volume and show once more the potentials and interesting developments for data mining for different applications. Three new workshops have been established in connection with ICDM: 1. Mass Data Analysis on Images and Signals, MDA 2006, 2. Data Mining for Life Sciences, DMLS 2006, and 3. Data Mining in Marketing, DMM 2006. These workshops are developing new topics for data mining under the aspect of the special application. We are pleased to see how many interesting developments are going on under these topics. We would like to express our appreciation to the reviewers for their precise and highly professional works. We appreciate the help and understanding of the editorial staff at Springer and in particular Alfred Hofmann, who supported the publication of these proceedings in the LNAI series. We wish to thank all speakers, participants, and industrial exhibitors who contributed to the success of the conference. We are looking forward to welcoming you to ICDM 2007 (www.data-mining-forum.de) and to the new work you will present there.
No abstract
In this paper a new camera system for high speed imaging is presented which is capable of recording images with a resolution of 256x256 pixels and frame rates in excess of 1000 frames per second. It uses an image sensor with on-chip electronic shutter and has been fabricated in standard 1µm standard CMOS (Complementary Metal Oxide Semiconductor) process. The camera system contains an image memory for sequence recording. The camera system contains an image memory for sequence recording. The camera delivers a very good image quality without any external algorithm for image enhancement and provides a very fast interface between the image acquisition and image processing unit. Another among several advantages of CMOS imagers compared to their CCD (Charge Coupled Device) counterparts is the flexibility and the possibility to acquire images in a very short period. This allows an adaption of the camera to various automotive applications like occupancy detection, airbag control, precash sensing, collision avoidance, surveillance, and crash test observation. Moreover, the system architecture makes a combination of several applications possible using just a single image sensor unit
Surveillance sensors are being applied in factory automation systems, traffic control, entrapment protection, automotive safety systems and in other applications where information about the occupancy of a scene is required. In order to detect object motion several methods exploiting distinct physical phenomena, e. g. passive infrared sensors or active microwave sensors, have been realized. When comparing all of the applicable methods, the electro-optical approach outperforms with respect to the spatial resolution of the monitored area. Therefore, electro-optical sensors are able to provide additional information, e. g. to predict the direction of motion, or to localize and identify objects. However, convenient image processing systems using CCD sensors for image acquisition and DSP or µP boards for signal processing and classification are not well suited for dedicated, powerful and cost-effective optical sensor solutions. In contrast to this mainstream approach CMOS based imaging techn ologies offer novel solutions in both the design and applications of electro-optical surveillance sensors. This contribution discusses CMOS imagers operating principles and describes certain architectures and applications for passive and active surveillance sensors. The capabilities to realize on-chip motion detection and range sensing using fast shutter devices are illustrated. We conclude with a discussion of the status of CMOS surveillance sensors and suggest trends for future applications
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.