The Moving Target Detecting Based on the Parallelable Discontinuous Frame Difference Optical Flow Field Integrated with Gray Intensity Analysis

[in Chinese]; [in Chinese]; [in Chinese]

Journals >Acta Photonica Sinica >Volume 32 >Issue 2 >Page 182 > Article

Acta Photonica Sinica
Vol. 32, Issue 2, 182 (2003)

The Moving Target Detecting Based on the Parallelable Discontinuous Frame Difference Optical Flow Field Integrated with Gray Intensity Analysis

[in Chinese], [in Chinese], and [in Chinese]

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[in Chinese]

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DOI: Cite this Article

[in Chinese], [in Chinese], [in Chinese]. The Moving Target Detecting Based on the Parallelable Discontinuous Frame Difference Optical Flow Field Integrated with Gray Intensity Analysis[J]. Acta Photonica Sinica, 2003, 32(2): 182 Copy Citation Text

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References

[1] Horn B K, Schunck B G. Determining optical flow. Artificial Intelligence, 1981, 17(1): 185～203

[2] Girosi F, Verri A, Torre V. Constraints for the computation of optical flow. Proceedings of the IEEE Workshop on Visual Motion, 1989. 116～124

[3] Russo P, Marandey V, Bui T,et al. Optical Flow Techniques for Moving Target Detection. SPIE Proceedings, 1990,1383: 62～71

[4] Black M J, Jepson A D. Estimation optical flow in segmented images using variable-order parametric models with local deformations. IEEE Trans Pattern Analysis and Machine Intelligence, 1996,18(10): 972～986

[5] Hong E P, Spann M. Robust optical flow computation based on least-median-of-square regression. International Journal of Computer Vision, 1999,31(1): 51～826

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