A new feature-points extraction algorithm is proposed, which USES least square method fitting contour curve and combines slope, curvature information to extract feature-points.

提出一种新的轮廓特征点提取方法，它利用最小二乘法拟合轮廓曲线，结合斜率、曲率信息提取特征点。

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During contour evolution, the particle filter (PF) is used to track the feature points by enforcing spatiotemporal local constraints to handle the observation noise.

为避免观测噪声的影响，增加轮廓的时空局部约束并利用粒子滤波(PF)技术解决该类跟踪问题是非常有效的。

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An important feature of shape description is the contour curves of object. To improve the efficiency of recognition, dominant points are usually used to represent the contour.

描述形状的重要特征是物体的轮廓曲线，为了提高识别效率，通常使用控制点表达轮廓。

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