1. [1] A. Karamiani and N. Farajzadeh, "Optimal feature points for tracking multiple moving objects in active camera model," Multimedia Tools and Applications, pp. 1-19, 2015. 2. [2] J. K. Aggarwal and Q. Cai, "Human motion analysis: A review," in Nonrigid and Articulated Motion Workshop, 1997. Proceedings., IEEE, 1997, pp. 90-102. [ DOI:10.1109/NAMW.1997.609859] 3. [3] M. Piccardi, "Background subtraction techniques: a review," in Systems, man and cybernetics, 2004 IEEE international conference on, 2004, pp. 3099-3104. 4. [4] R. Poppe, "Vision-based human motion analysis: An overview," Computer vision and image understanding, vol. 108, pp. 4-18, 2007. [ DOI:10.1016/j.cviu.2006.10.016] 5. [5] A. Yilmaz, O. Javed, and M. Shah, "Object tracking: A survey," Acm computing surveys (CSUR), vol. 38, p. 13, 2006. 6. [6] J. S. Lim and W. H. Kim, "Detection and tracking multiple pedestrians from a moving camera," in Advances in Visual Computing, ed: Springer, 2005, pp. 527-534. [ DOI:10.1007/11595755_64] 7. [7] J. Lim and W. Kim, "Detecting and tracking of multiple pedestrians using motion, color information and the AdaBoost algorithm," Multimedia tools and applications, vol. 65, pp. 161-179, 2013. [ DOI:10.1007/s11042-012-1156-3] 8. [8] Y.-S. Hsieh, Y.-C. Su, and L.-G. Chen, "Robust moving object tracking and trajectory prediction for visual navigation in dynamic environments," in Consumer Electronics (ICCE), 2012 IEEE International Conference on, 2012, pp. 696-697. 9. [9] B. Jung and G. S. Sukhatme, "Detecting moving objects using a single camera on a mobile robot in an outdoor environment," in International Conference on Intelligent Autonomous Systems, 2004, pp. 980-987. 10. [10] A. Talukder, S. Goldberg, L. Matthies, and A. Ansar, "Real-time detection of moving objects in a dynamic scene from moving robotic vehicles," in Intelligent Robots and Systems, 2003.(IROS 2003). Proceedings. 2003 IEEE/RSJ International Conference on, 2003, pp. 1308-1313. [ DOI:10.1109/IROS.2003.1248826] 11. [11] Y.-K. Jung, K.-W. Lee, and Y.-S. Ho, "Feature-based object tracking with an active camera," in Advances in Multimedia Information Processing—PCM 2002, ed: Springer, 2002, pp. 1137-1144. [ DOI:10.1007/3-540-36228-2_141] 12. [12] M. Siam, R. ElSayed, and M. ElHelw, "On-board multiple target detection and tracking on camera-equipped aerial vehicles," in Robotics and Biomimetics (ROBIO), 2012 IEEE International Conference on, 2012, pp. 2399-2405. [ DOI:10.1109/ROBIO.2012.6491329] 13. [13] D. D. Doyle, A. L. Jennings, and J. T. Black, "Optical flow background estimation for real-time pan/tilt camera object tracking," Measurement, vol. 48, pp. 195-207, 2014. [ DOI:10.1016/j.measurement.2013.10.025] 14. [14] A. Kundu, C. Jawahar, and K. M. Krishna, "Realtime moving object detection from a freely moving monocular camera," in Robotics and Biomimetics (ROBIO), 2010 IEEE International Conference on, 2010, pp. 1635-1640. [ DOI:10.1109/ROBIO.2010.5723575] 15. [15] A. Vavilin, L.-M. Ha, and K.-H. Jo, "Camera motion estimation and moving object detection based on local feature tracking," in Advanced Research in Applied Artificial Intelligence, ed: Springer, 2012, pp. 544-552. [ DOI:10.1007/978-3-642-31087-4_56] 16. [16] M. Zaki and M. Youssef, "TNRAC: a system for tracking multiple moving non-rigid objects using an active camera," Signal, image and video processing, vol. 3, pp. 145-155, 2009. [ DOI:10.1007/s11760-008-0066-3] 17. [17] B. Zitova and J. Flusser, "Image registration methods: a survey," Image and vision computing, vol. 21, pp. 977-1000, 2003. [ DOI:10.1016/S0262-8856(03)00137-9] 18. [18] D. I. Barena and H. F. Silverman, "A Class of Algorithms for Fast Digital Registration," IEEE Transactions on Computers, vol. 21, pp. 179-186, 1972. [ DOI:10.1109/TC.1972.5008923] 19. [19] H. G. Barrow, J. M. Tenenbaum, R. C. Bolles, and H. C. Wolf, "Parametric correspondence and chamfer matching: Two new techniques for image matching," DTIC Document1977. 20. [20] A. Goshtasby, "Image registration by local approximation methods," Image and Vision Computing, vol. 6, pp. 255-261, 1988. [ DOI:10.1016/0262-8856(88)90016-9] 21. [21] A. Rosenfeld and A. C. Kak, Digital picture processing vol. 1: Elsevier, 2014. 22. [22] G. Stockman, S. Kopstein, and S. Benett, "Matching images to models for registration and object detection via clustering," Pattern Analysis and Machine Intelligence, IEEE Transactions on, pp. 229-241, 1982. [ DOI:10.1109/TPAMI.1982.4767240] 23. [23] F. Li, G. Zhang, and J. Yan, "Coregistration based on SIFT algorithm for synthetic aperture radar interferometry," in Proceedings of ISPRS Congress, 2008. 24. [24] L. Xiaoming, Z. Lian, and H. Zhanyi, "SIFT based automatic registration of remotely-sensed imagery," Journal of remote sensing, vol. 10, pp. 885-892, 2006. 25. [25] A. Sedaghat, M. Mokhtarzade, and H. Ebadi, "Uniform robust scale-invariant feature matching for optical remote sensing images," Geoscience and Remote Sensing, IEEE Transactions on, vol. 49, pp. 4516-4527, 2011. [ DOI:10.1109/TGRS.2011.2144607] 26. [26] A. Sedaghat and H. Ebadi, "Remote sensing image matching based on adaptive binning SIFT descriptor," Geoscience and Remote Sensing, IEEE Transactions on, vol. 53, pp. 5283-5293, 2015. [ DOI:10.1109/TGRS.2015.2420659] 27. [27] M. A. Fischler and R. C. Bolles, "Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography," Communications of the ACM, vol. 24, pp. 381-395, 1981. [ DOI:10.1145/358669.358692] 28. [28] J. L. Mundy and A. Zisserman, Geometric invariance in computer vision vol. 92: MIT press Cambridge, MA, 1992. 29. [29] N. Otsu, "A threshold selection method from gray-level histograms," Automatica, vol. 11, pp. 23-27, 1975. 30. [30] A. Hakeem, K. Shafique, and M. Shah, "An object-based video coding framework for video sequences obtained from static cameras," in Proceedings of the 13th annual ACM international conference on Multimedia, 2005, pp. 608-617. [ DOI:10.1145/1101149.1101289] 31. [31] K. Gupta and A. V. Kulkarni, "Implementation of an automated single camera object tracking system using frame differencing and dynamic template matching," in Advances in Computer and Information Sciences and Engineering, ed: Springer, 2008, pp. 245-250. [ DOI:10.1007/978-1-4020-8741-7_44] 32. [32] R. Kasturi, D. Goldgof, P. Soundararajan, V. Manohar, M. Boonstra, and V. Korzhova, "Performance evaluation protocol for face, person and vehicle detection & tracking in video analysis and content extraction (VACE-II)," Computer Science & Engineering University of South Florida, Tampa, 2006.
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