Details Details PDF BIBTEX RIS Title Comparison of Tracking Methods in Respect of Automation of an Animal Behavioral Test Journal title Metrology and Measurement Systems Yearbook 2011 Issue No 1 Authors Mazur-Milecka, Magdalena ; Nowakowski, Antoni Keywords analysis ; object tracking ; animal social interaction tests Divisions of PAS Nauki Techniczne Coverage 91-104 Publisher Polish Academy of Sciences Committee on Metrology and Scientific Instrumentation Date 2011 Type Artykuły / Articles Identifier DOI: 10.2478/v10178-011-0009-0 ; ISSN 2080-9050, e-ISSN 2300-1941 Source Metrology and Measurement Systems; 2011; No 1; 91-104 References Yilmaz A. (2006), Object Tracking: A Survey, ACM Computing SurveysI, 38, 4. ; Albonetti M. (1994), Social stress by repeated defeat: effects on social behaviour and emotionality, Behav Brain Res, 62, 187, doi.org/10.1016/0166-4328(94)90027-2 ; Comaniciu D. (1999), Mean Shift Analysis and Applications, IEEE Int'l Conf. Comp. Vis, 2, 1197. ; Fukunaga K. (1990), Introduction to Statistical Pattern Recognition. ; Bradski G. (2008), Learning OpenCV. ; Bradski G. (1998), Computer Vision Face Tracking For Use in a Perceptual User Interface, Intel Technology Journal, Q2. ; Horn B. (1981), Determining Optical Flow, Artificial Intelligence, 17, 185, doi.org/10.1016/0004-3702(81)90024-2 ; Lucas B. (1981), An iterative image registration technique with an application to stereo vision, null, 121. ; Isard M. (1998), CONDENSATION-Conditional Density Propagation for Visual Tracking, Int. J. Computer Vision, 29, 1, 5, doi.org/10.1023/A:1008078328650 ; Arulampalam M. (2002), A Tutorial on Particle Filters for Online Nonlinear/Non-Gaussian Bayesian Tracking, IEEE Transactions on Signal Processing, 50, 2, 174, doi.org/10.1109/78.978374 ; Bhandarkar S. (2009), Integrated detection and tracking of multiple faces using particle filtering and optical flow-based elastic matching, Computer Vision and Image Understanding, 113, 708, doi.org/10.1016/j.cviu.2008.11.010 ; Thuy M. (2009), Non-linear multimodal object tracking based on 2D lidar data, Metrol. Meas. Syst, 16, 3, 359. ; Gordon N. (1993), Novel approach to non-linear and non-Gaussian Bayesian state estimation, Proc. Inst. Elect. Eng, 140, 107. ; Pitt M. (1999), Auxiliary particle filters, J. Amer. Statist. Assoc, 94, 590. ; Musso C. (2001), Sequential Monte Carlo Methods in Practise. ; Shan C. (2004), Real time hand tracking by combining particle filtering and mean shift, null, 669. ; Kass M. (1988), Snakes: Active Contour Models, International Journal of Computer Vision, 321, doi.org/10.1007/BF00133570