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

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

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    References(5)

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

    [2] [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] [3] Russo P, Marandey V, Bui T,et al. Optical Flow Techniques for Moving Target Detection. SPIE Proceedings, 1990,1383: 62~71

    [4] [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] [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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    [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

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    Paper Information

    Category: Image Processing

    Received: Jun. 24, 2002

    Accepted: --

    Published Online: Sep. 18, 2007

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