Horn and Schunck Optical Flow Robustness on Non-Gaussian Noise by Fine-Tune Lorentzian Norm In uence Function
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Abstract
The noise sensitivity of the optical flow is a limitation for determining the motion flow. When there is noise, the optical flow cannot identify the outcome of the motion flow. The robustness strategy using the netuned Lorentzian function is provided here to strengthen the resilience of the optical flow's effect. In dense processing, when non-Gaussian disturbances are present in opposition to each frame of the input video sequence, we concentrate on the realization of the Horn and Schunck optical flow technique. The error in the motion flow is evaluated by calculating the Error Vector Magnitude (EVM) value. The EVM considers the motion flow's faultlessness in both range and direction. We simulated several non-Gaussian noises over a range of input video sequences for the evaluation. By employing the fine-tuning Lorentzian norm influence function on the Horn and Schunk optical flow, we could determine how the robustness of the motion flow had improved.
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