S. Balakirsky and R. Chellappa. Performance characterization of image stabilization algorithms, Center for Automation Research Technical Report, CAR-TR-822, University of Maryland, College Park, MD, April 1996. Home/Search Document Not in Database Summary Related Articles Check |
This paper is cited in the following contexts:
RSTA on the Move: Detection and Tracking of Moving Objects from an .. - Davis (1996) (2 citations) (Correct)
....had unacceptably high false dismissal and false alarm rates on the tested image sequences. On the other hand, when the target tracker was integrated with the third algorithm, it achieved a 0 false dismissal rate and a 1 false alarm rate on real IR sequences. Details of this study are reported in [1]. Figure 12 shows a typical image from one of the real FLIR sequences employed in the experiments. The target, near the top of the image, is outlined in a box. Table 2 compares the detection results of the three stabilization algorithms on one of the FLIR sequences. Again, even though there is ....
S. Balakirsky and R. Chellappa. Performance characterization of image stabilization algorithms, Center for Automation Research Technical Report, CAR-TR-822, University of Maryland, College Park, MD, April 1996.
RSTA on the Move: Detection and Tracking of Moving Objects.. - Davis, Bajcsy, al. (1996) (2 citations) (Correct)
....high false dismissal and false alarm rates on the tested image sequences. On the other hand, when the target tracker was integrated with the third algorithm, it achieved a 0 false dismissal rate and a 1 false alarm rate on real IR sequences. Details of this study will be reported in [ Balakirsky and Chellappa, 1996 ] Figure 7 shows a typical image from one of the real FLIR sequences employed in the experiments. The target, near the top of the image, is outlined in a box. Table 1 compares the detection results of the three stabilization algorithms on one of the FLIR sequences. Again, even though there is ....
S. Balakirsky and R. Chellappa. Performance characterization of image stabilization algorithms, Center for Automation Research Technical Report, University of Maryland, College Park, MD, to appear.
RSTA on the Move: Detection and Tracking of Moving Objects from .. - Larry Davis (1996) (2 citations) (Correct)
....high false dismissal and false alarm rates on the tested image sequences. On the other hand, when the target tracker was integrated with the third algorithm, it achieved a 0 false dismissal rate and a 1 false alarm rate on real IR sequences. Details of this study will be reported in [ Balakirsky and Chellappa, 1996 ] Figure 6 shows a typical image from one of the real FLIR sequences employed in the experiments. The target, near the top of the image, is outlined in a box. Table 1 compares the detection results of the three stabilization algorithms on one of the FLIR sequences. Again, even though there is ....
S. Balakirsky and R. Chellappa. Performance characterization of image stabilization algorithms, Center for Automation Research Technical Report, University of Maryland, College Park, MD, to appear.
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