Computer Vision:
R. Stolkin, “Continuous machine learning in computer vision - tracking with adaptive class models”
Book Chapter for “Vision Systems”, G. Obinata, A Dutta, eds., published by Journal of Advanced Robotic Systems, available from April 2007.
R. Stolkin, I. Florescu, G. Kamberov. "An adaptive background model for CAMSHIFT tracking with a moving camera". Proc. 6th International Conference on Advances in Pattern Recognition. World Scientific Publishing, Calcutta, 2007.
R. Stolkin, M. Hodgetts, A. Greig, J. Gilby. "Extended Markov random Fields for Predictive Image Segmentation". Proc. 6th International Conference on Advances in Pattern Recognition. World Scientific Publishing, Calcutta, 2007.
R. Stolkin, A. Greig, J. Gilby. "A calibration system for measuring 3D ground truth for validation and error analysis of robot vision algorithms". Journal of Measurement Science and Technology. Institute of Physics, 2006.
R. Stolkin, M. Hodegtts, A. Greig, J. Gilby. “An EM / E-MRF algorithm for adaptive model based tracking in extremely poor visibility". Journal of Image and Vision Computing. Elsevier, in press 2006.
R. Stolkin, A. Greig, J. Gilby. “Video with ground-truth for validation of visual registration, tracking and navigation algorithms”. IEEE Canadian Conference on Computer and Robot Vision. 2005.
R. Stolkin, A. Greig, J. Gilby. “Measuring complete ground-truth data and error estimates for real video sequences, for performance evaluation of tracking, camera pose and motion estimation algorithms”. International Conference on Computer Vision, BenCOS workshop. 2005.
R. Stolkin, M. Hodegtts, A. Greig. “An EM / E-MRF Strategy for Underwater Navigation”, Proc. 11th British Machine Vision Conference. 2000.
Robotics:
D. Kruger, R. Stolkin, A. Blum, J. Briganti. “Optimal AUV path planning for extended missions in complex, fast-flowing estuarine environments”. Proc. International Conference on Robotics and Automation, 2007. Accepted.
R. Stolkin, R. Sheryll, L. Hotaling. "Braitenbergian experiments with simple aquatic robots". Proc. IEEE MTS OCEANS 2007.
R. Stolkin, J. Nickerson. “Combining multiple autonomous mobile sensor behaviours using local clustering”. IEEE Military Communications Conference, workshop on Situation Management. 2005.
L. Hotaling,R. Stolkin, R. Sheryll. “Discovery based learning in the engineering classroom using underwater robotics”. American Society for Engineering Education. 2006.
R. Stolkin, L. Hotaling, R. Sheryll. “A simple ROV project for the engineering classroom”. Proc. IEEE / Marine Technology Society OCEANS conference, 2006.
Sensor systems, recogniton and detection
R. Stolkin et al. "Feature based passive acoustic detection of a diver". Proceedings of the SPIE Defense and Security Symposium, 2006.
R. Stolkin, L. Vickers, J. Nickerson. "Using Environmental Models for Sensor Placement Optimization". IEEE Sensors Journal, 2007.
L. Vickers, R. Stolkin, J. Nickerson. "Environmental Models Aid Sensor Placement Optimization for Detecting Underwater Threats". Proc. IEEE Military Communications Conference, workshop on Situation Management, 2006.
R.Stolkin, I. Florescu. Probabilistic analysis of a passive acoustic diver detection system for optimal sensor placement and extensions to localization and tracking. Proc. IEEE MTS OCEANS 2007.
R. Stolkin, S. Radhakrishnan, A. Sutin, R. Rountree
Newspaper articles:
“Patterns of an Artificial Mind” Ananda Bazar Patrika, Calcutta, 24/12/06
An exploration of the history of Indian probability theory and its importance to modern AI. Extended feature article, published in translation (Bengali), coinciding with International Conference on Advances in Pattern Recognition in Calcutta.
Book Review - "The God Delusion" by Richard Dawkins. Available on request. Bookline Quaterly Journal. | 
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