Multi-Target Tracking Using a Vision Chip and its Applications to Real-Time Visual Measurement
Yoshihiro Watanabe, Takashi Komuro, Shingo Kagami,
and Masatoshi Ishikawa
Department of Information Physics and Computing, University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan
Real-time image processing at high frame rates could play an important role in various visual measurement. Such image processing can be realized by using a high-speed vision system imaging at high frame rates and having appropriate algorithms processed at high speed. We introduce a vision chip for high-speed vision and propose a multi-target tracking algorithm for the vision chip utilizing the unique features. We describe two visual measurement applications, target counting and rotation measurement. Both measurements enable excellent measurement precision and high flexibility because of high-frame-rate visual observation achievable. Experimental results show the advantages of vision chips compared with conventional visual systems.
and Masatoshi Ishikawa, “Multi-Target Tracking Using a Vision Chip and its Applications to Real-Time Visual Measurement,” J. Robot. Mechatron., Vol.17, No.2, pp. 121-129, 2005.
-  T. Komuro, S. Kagami, and M. Ishikawa, “A New Architecture of Programmable Digital Vision Chip,” Proceeding of 2002 Symposium on VLSI Circuits, pp. 266-269, 2002.
-  I. Ishii, and M. Ishikawa, “Self Windowing for high speed vision,” Proceedings of 1999 IEEE International Conference on Robotics and Automation, pp. 1916-1921, 1999.
-  S. Kagami, T. Komuro, I. Ishii, and M. Ishikawa, “A Real-Time Visual Processing System using a General-Purpose Vision Chip,” Proceedings of 2002 IEEE International Conference on Robotics and Automation, pp. 1229-1234, 2002.
-  http://www.k2.t.u-tokyo.ac.jp/vision/index-e.html
-  R. Okada, J. Oaki, D. Yamamoto, N. Kondoh, and J. Amemiya, “High-speed Object Tracking in Ordinary Surroundings Based on Temporally Evaluated Optical Flow,” Proceedings of 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 242-247, 2003.
-  Y. Nakabo, M. Ishikawa, H. Toyoda, and S. Mizuno, “1ms Column Parallel Vision System and its Application of High Speed Target Tracking,” Proceedings of 2000 IEEE International Conference on Robotics and Automation, pp. 650-655, 2000.
-  K. Tajima, A. Numata, and I. Ishii, “Development of a High-resolution, High-speed Vision System using CMOS Image Sensor Technology Enhanced by Intelligent Pixel Selection Technique,” Proceedings of SPIE Vol.5603, pp. 215-224, 2004.
-  U. Muehlmann, M. Ribo, P. Lang, and A. Pinz, “A New High Speed CMOS Camera for Real-Time Tracking Applications,” Proceedings of 2004 IEEE International Conference on Robotics and Automation, pp. 5195-5200, 2004.
-  V. Brajovic, and T. Kanade, “Computational Sensor for Visual Tracking with Attention,” IEEE Journal of Solid-State Circuits, Vol.33, No.8, pp. 1199-1207, Aug. 1998.
-  V. Brajovic, “An Object Tracking Computational Sensor,” tech. report CMU-RI-TR-01-40, Robotics Institute, Carnegie Mellon University, December 2001.
-  T. Komuro, I. Ishii, M. Ishikawa, and A. Yoshida, “A Digital Vision Chip Specialized for High-speed Target Tracking,” IEEE transaction on Electron Devices, Vol.50, No.1, pp. 191-199, 2003.
-  T. Nakano, T. Morie, M. Nagata, and A. Iwata, “A Cellular-Automaton-Type Image Extraction Algorithm and Its Implementation Using an FPGA,” Proceedings of IEEE Asia-Pacific Conference on Circuits and Systems (APCCAS 2002), Vol.2, pp. 197-200, 2002.
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