The main ways of visual motion analysis can be classified into feature based and optical flow based.
视觉运动分析分为基于特征的方法和基于光流场的方法。
Based on the detail analysis of optical flow model, a robust multi-resolution estimation approach of optical flow is proposed, and some practical problems are also discussed on target detection.
该文在分析光流模型约束条件的基础上，提出了一种鲁棒的多分辨率光流估计方法，并对光流应用于目标检测的一些实际问题进行了探讨。
The algorithm is mainly composed of image preprocessing, the vehicle motion detection and behavior analysis based on optical flow.
算法主要包括图像的预处理，车辆的运动检测和基于光流场的行为分析。
Based on the optical flow technique in image motion analysis, a new continuous correction algorithm based on scene is proposed in the paper. The algorithm has a better adaptive performance.
本文结合图像运动分析中的光流技术，提出了一种新的基于场景的连续校正算法，该算法具有较好的自适应性能。
Recently, many novel methods are applied in the facial expression recognition such as Artificial Neural Networks, Support Vector Machines, Wavelet Analysis, Hide Markov Model and Optical Flow, etc.
近来，很多新的算法被应用在表情识别当中来，如：人工神经网络、支持向量机、小波分析、隐马尔可夫链模型和光流等。
Recently, many novel methods are applied in the facial expression recognition such as Artificial Neural Networks, Support Vector Machines, Wavelet Analysis, Hide Markov Model and Optical Flow, etc.
近来，很多新的算法被应用在表情识别当中来，如：人工神经网络、支持向量机、小波分析、隐马尔可夫链模型和光流等。
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