Proceedings of the IEEE Conference on Advanced Video and Signal Based Surveillance, 2003.
DOI: 10.1109/avss.2003.1217935
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Color-based video stabilization for real-time on-board object detection on high-speed trains

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Cited by 23 publications
(21 citation statements)
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References 13 publications
(16 reference statements)
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“…In order to confirm the validity of the proposed algorithm, a series of experiments have been performed comparing our approach with other digital stabilization techniques based on integral projections [8] and block matching [4].…”
Section: Resultsmentioning
confidence: 96%
“…In order to confirm the validity of the proposed algorithm, a series of experiments have been performed comparing our approach with other digital stabilization techniques based on integral projections [8] and block matching [4].…”
Section: Resultsmentioning
confidence: 96%
“…The vertical and horizontal projections between frames i and iÀ 1 are registered (through cross-correlation or another registration technique), thus producing vertical and horizontal displacement estimations. This method proved very fast, in [20] it was used for real-time obstacle detection on high-speed trains. Image projections were also used for global motion estimation in [22,23].…”
Section: Motivation and Proposed Methodsmentioning
confidence: 99%
“…Table 2 shows the obtained errors for the Weizmann robust dataset. 'Proj+ XCorr' refers to the use of image projections and cross-correlation to get estimates of global motion, i.e., the method of [20]. Fig.…”
Section: Methodsmentioning
confidence: 99%
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“…This block projection is matched in the corresponding block search space in the next frame. In the same field, Piva et al [7] proposed the full frame integral projection (IP) curve extraction for the real time train application. This method uses point to point euclidean distance based matching for motion estimation.…”
Section: Introductionmentioning
confidence: 99%