f72e445c-d0bc-4ee2-a1f9-82052e40189620220608081013374wseas:wseasmdt@crossref.orgMDT DepositWSEAS TRANSACTIONS ON SIGNAL PROCESSING2224-34881790-505210.37394/232014http://wseas.org/wseas/cms.action?id=4062210202221020221810.37394/232014.2022.18https://wseas.com/journals/sp/2022.phpTain-SouTsayDepartment of Aeronautical Engineering, National Formosa University, 64, Wen-Hua Road, Huwei, Yunlin, 63208, TAIWANIn this paper, image signal processing technique is applied to a Hand-Eye-Foot Coordinated System. The considered system integrates IP Camera device, multi-joint robotic arm and wheeled mobile carrier is proposed to simulate the coordination of human hands, eyes and feet, and carry out the behaviour of taking objects in the air during the march. IP Camera performs image capture, cooperates with image processing software, and makes target recognition and target selection similar to the human eye. Multi-joint mechanical arm, simulate the human arm, the target object grab. Wheeled mobile mounts simulate the movement behaviour of human forwards, backs and turns. The rapid image processing and target identification technology related to the system are developed. 2D target tracking technology, including (1) Camera tracking target law and (2) platform tracking camera tracking law are proposed.68202268202212312717https://wseas.com/journals/sp/2022/a345114-014(2022).pdf10.37394/232014.2022.18.17https://wseas.com/journals/sp/2022/a345114-014(2022).pdfWiFi Mobile Robot Development Platform with High Resolution Pan-Tilt-Zoom Camera, X80SV Quick Start Guide, Dr. Robot Inc, 2013. 10.1109/tro.2006.886277A. Salerno and J. Angels,” A new family of two wheeled mobile robot: modelling and controllability, “IEEE Transaction on Robotics, Vol.23, No.1, pp.169-173, 2007. 10.1109/tie.2019.2931506J.Y. Kim, “Trajectory Generation of a TwoWheeled Mobile Robot in an Uncertain Environment, “IEEE Transactions on Industrial Electronics, Vol.67, No.7, pp. 5586 -5594, 2020. 10.1163/15685530152744581T. Urakubo, K. Tsuchiya & K. Tsujita , “Motion control of a two-wheeled mobile robot,” Advanced Robotics, pp.711-728, 2012. 10.7906/indecs.13.1.06B. Kocaturk, “Motion Control of Wheeled Mobile Robots, “Interdisciplinary Description of Complex Systems, Vol.13, No.1, pp. 41-47, 2015. 10.1016/s0031-3203(96)00128-8D. S. Jang, G. Y. Kim, and H. I. Choi, “Modelbased Tracking of Moving Object, ” Pattern Recognition, Vol. 30, No. 6, pp. 999-1008, 1997. 10.1109/iros.2003.1248826A. Talukder, S. Goldberg, L. Matthies, A. Ansar, “Real-time detection of moving objects in a dynamic scene from moving robotic vehicles, “Proceedings 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems , Las Vegas, NV, USA , 27-31 Oct. 2003, Vol.2 pp.1307-1313. 10.1109/70.538972S. Hutchinson, G. D. Hage and P. I. Corke, “A Tutorial on Visual Servo Control,” IEEE Trans. on Robotics and Automation, No. 5, pp. 651– 670 , 1996. 10.1109/acv.1998.732851A. J. Lipton, H. Fujiyoshi, and R. S. Patil, “Moving Target Classification and Tracking From Real-Time Video,” IEEE Workshop on Applications of Computer Vision, pp. 8-14, 1998. R. C. Gonzalez , R. E. Woods, Digital Image Processing, 4/e, Pearson International Edition, NY, 2017. L. G. Shapiro and G. C. Stockman, Computer Vision, Prentice Hall, Upper Saddle River, NY, 2001. 10.2174/1874444300801010014T. S. Tsay, ”Data Preprocessing Circuit Designs and Analyses for Subsonic Cruise Missile Infrared Image Seeker,” The open Automation and Control System Journal, Vol.12, pp-14-19, 2008. 10.1109/iccworkshops50388.2021.9473832B. Kaur; J. Bhattacharya, “A Hybrid Approach for Scene Matching used for Autonomous vehicles,” IEEE International Conference on Communications Workshops, Montreal, QC, Canada, 14-23 June 2021.