Development of the Embedded Vision System: A Survey

Recently embedded technology has been widely applied to machine vision and embedded vision systems are more and more popular. This paper reviews the advances on embedded vision systems, and then compares and analyzes their frameworks in processing ability, cost and performance. A discussion is provided for some unsolved problems for embedded vision systems. Finally, the future of embedded vision system is outlined.

[1]  Joan Batlle,et al.  A New FPGA/DSP-Based Parallel Architecture for Real-Time Image Processing , 2002, Real Time Imaging.

[2]  Jason Schlessman,et al.  Hardware/Software Co-Design of an FPGA-based Embedded Tracking System , 2006, 2006 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'06).

[3]  Anthony Rowe,et al.  A low cost embedded color vision system , 2002, IEEE/RSJ International Conference on Intelligent Robots and Systems.

[4]  Alastair R. Allen,et al.  A hybrid system for embedded machine vision using FPGAs and neural networks , 2008, Machine Vision and Applications.

[5]  Dong Li,et al.  Notice of Violation of IEEE Publication PrinciplesA Low Cost Embedded Color Vision System Based on SX52 , 2006, 2006 IEEE International Conference on Information Acquisition.

[6]  Yoshinobu Yamamoto,et al.  Embedded vision system for mobile robot navigation , 2006, Proceedings 2006 IEEE International Conference on Robotics and Automation, 2006. ICRA 2006..

[7]  Alan A. Stocker,et al.  An embedded vision system based on an analog VLSI vision sensor [robot vision applications] , 2005, 2005 IEEE International Symposium on Circuits and Systems.

[8]  J. Palacin,et al.  Autonomous mobile mini-robot with embedded CMOS vision system , 2002, IEEE 2002 28th Annual Conference of the Industrial Electronics Society. IECON 02.

[9]  Anthony Rowe,et al.  A Second Generation Low Cost Embedded Color Vision System , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Workshops.

[10]  S. McBader,et al.  A programmable image signal processing architecture for embedded vision systems , 2002, 2002 14th International Conference on Digital Signal Processing Proceedings. DSP 2002 (Cat. No.02TH8628).

[11]  Richard P. Kleihorst,et al.  Architecture and Applications of wireless Smart Cameras (Networks) , 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

[12]  Martin Humenberger,et al.  Boosting the performance of embedded vision systems using a DSP/FPGA co-processor system , 2007, 2007 IEEE International Conference on Systems, Man and Cybernetics.

[13]  A.N. Belbachir,et al.  Embedded Vision System for Real-Time Object Tracking using an Asynchronous Transient Vision Sensor , 2006, 2006 IEEE 12th Digital Signal Processing Workshop & 4th IEEE Signal Processing Education Workshop.

[14]  Sergio L. Toral Marín,et al.  Development of an Embedded Vision based Vehicle Detection System using an ARM Video Processor , 2008, 2008 11th International IEEE Conference on Intelligent Transportation Systems.

[15]  Peter Lee,et al.  An FPGA implementation of a flexible, parallel image processing architecture suitable for embedded vision systems , 2003, Proceedings International Parallel and Distributed Processing Symposium.

[16]  Chen Wu,et al.  Real-Time Human Pose Estimation: A Case Study in Algorithm Design for Smart Camera Networks , 2008, Proceedings of the IEEE.

[17]  H. Aghajan,et al.  A Smart Camera Mote Architecture for Distributed Intelligent Surveillance , 2006 .

[18]  A. Cuhadar,et al.  Structured parallel design for embedded vision systems: an application case study , 1995 .

[19]  Martin Litzenberger,et al.  Embedded Smart Camera for High Speed Vision , 2007, 2007 First ACM/IEEE International Conference on Distributed Smart Cameras.

[20]  Taikyeong T. Jeong,et al.  Implementation of Embedded System for Intelligent Image Recognition and Processing , 2006, ICCSA.

[21]  François Berry,et al.  Embedded Active Vision System Based on an FPGA Architecture , 2007, EURASIP J. Embed. Syst..