A trajectory-based computational model for optical flow estimation
A trajectory-based computational model for optical flow estimation
复制标题
基于轨迹的光流估计计算模型
DOI：
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发表时间：
1995
期刊：
影响因子：
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通讯作者：
R. Mehrotra
中科院分区：
文献类型：
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作者：
K. Chaudhury;R. Mehrotra
提出了一种新的光流计算模型。该模型利用了多帧时空体中的轨迹信息。光流估计被公式化为一个优化问题。该优化问题的解决方案产生对应于时空体积内恒定强度点的最平滑和最短轨迹的速度场。该方法的动机是在物理学和视觉心理学中的运动惯性和最小作用原理。讨论了轨迹和“细线”之间的类比。一个简单的机制，用于处理轨迹的不连续性也被纳入。最优化问题的解决随机松弛技术。一些实验结果和现有的两种光流估计技术的性能比较，以证明所提出的方法的有效性。>
A new computational model for optical flow estimation is proposed. The proposed model utilizes trajectory information present in a multiframe spatio-temporal volume. Optical flow estimation is formulated as an optimization problem. The solution to this optimization problem yields a velocity field corresponding to smoothest and shortest trajectories of constant intensity points within the spatio-temporal volume. The approach is motivated by principles of inertia of motion and least action in physics and vision psychology. An analogy between a trajectory and a "thin wire" is discussed. A simple mechanism for handling trajectory discontinuities is also incorporated. The optimization problem is solved by stochastic relaxation techniques. Some experimental results and performance comparisons with two existing optical flow estimation techniques are presented to demonstrate the effectiveness of the proposed approach. >