[1]
Palopoli L. , Abeni L., Bolognini G. , Allotta B. , &Conticelli F. (2002). Novel scheduling policies in real-time multithread control system design. Control Engineering Practice, 10, 1091–1110.
DOI: 10.1016/s0967-0661(02)00054-0
Google Scholar
[2]
Palopoli L. , Conticelli , F. , &Allotta B. (2000). Multi-level stabilizing control of nonholonomic vehicles and its multirate digital implementation. IEEE conference on robotics and automation. Stanford , USA.
DOI: 10.1109/robot.2000.844861
Google Scholar
[3]
Bo H. , & Michel A. N. (1999). Some qualitative properties of multirate digital control systems. IEEE Transactions on Automatic Control, 44(4), 765–770.
DOI: 10.1109/9.754814
Google Scholar
[4]
Colaneri P. , Scattolini R. , &Schiavoni N. (1992). The LQG problem for multirate sampled-data systems. IEEE Transactions on Automatic Control , 37(5).
DOI: 10.1109/9.135515
Google Scholar
[5]
Starck, L . Jean, FionnMurtagh, J. Candes, Emmanuel, and L. Donoho, David,2003. Gray and Color Image Contrast Enhancement by the Curve let Transform, ,IEEE TRANSACTIONS ON IMAGE PROCESSING., 12(6).
DOI: 10.1109/tip.2003.813140
Google Scholar
[6]
Seonghyun B. , Dong S. P., Jaiwan C. , & Yong B. L. (1999). A robot endeffector tracking system based on feedforward neural networks. Robotics and Autonomous System , 28 , 43–52.
DOI: 10.1016/s0921-8890(99)00028-7
Google Scholar
[7]
Navon, R. (2000). Process and quality control with a video camera, for a floor-tilling robot. Automation in Construction, 10 , 113–125.
DOI: 10.1016/s0926-5805(99)00044-8
Google Scholar
[8]
Stephen J. , & McKenna (1999). Tracking color objects using adaptive mixture models. Image and Vision Computing, 17, 225–231.
DOI: 10.1016/s0262-8856(98)00104-8
Google Scholar
[9]
Klancar G., Kristan M. , & Karba R. (2004). Wide-angle camera distortions and non-uniform illumination in mobile robot tracking. Robotics and Autonomous Systems , 46 , 125–133.
DOI: 10.1016/j.robot.2003.11.001
Google Scholar
[10]
Pakorn K. , & Bowden R. (2003). A real time adaptive visual surveillance system for tracking low-resolution color targets in dynamically changing scenes. Image and Vision Computing , 21 , 913–929.
DOI: 10.1016/s0262-8856(03)00076-3
Google Scholar
[11]
Munchurl K. , Jeon J. G. , Kwak J. S. , Lee M. H. , Ahn C. (2001) Moving object segmentation in video sequences by user interaction and automatic object tracking. Image and Vision Computing, 19, 245–260.
DOI: 10.1016/s0262-8856(00)00074-3
Google Scholar
[12]
Tsechpenakis G. , Rapantzikos K. , Tsapatsoulis N. , &Kollias, S. (2004). A snake model for object tracking in natural sequences. Image Communication, 19 , 219–238.
DOI: 10.1016/j.image.2003.07.002
Google Scholar
[13]
Luigi P., Luca A., Gabriele B., Benedetto A., Fabio C. (2002) Novel scheduling policies in real-time multithreadcontrol system design, Control Engineering Practice 10, 1091–1110.
Google Scholar
[14]
Wei-YunY and Han W. (1998) Coordinating the eyes, head and arm of an autonomous robot, Engineering Applications of Artificial Intelligence11, 163-174.
DOI: 10.1016/s0952-1976(97)00073-0
Google Scholar