Most motion-based tracking algorithms assume that objects undergo rigid motion, which is most likely disobeyed in real world. In this paper, we present a novel motion-based tracking framework which makes no such assumptions. Object is represented by

对红外背景抑制技术进行了相关讨论和研究，在总结前人研究成果的基础 上，提出一种基于模式侧抑制的背景抑制方法。实验结果表明，该方法在有效增强 目标的同时，又能对复杂背景进行很好的抑制，在提高信杂比方面表现出良好的性 能。 -The technique of background suppression in IR image is discussed and studied principally. Based on the ou

One of the most popular approaches to detect lines is based on the Radon transform (RT). But in real-world applications RT-based approach suffers the noise and clutter, because they decrease the sharpness of the local maximums. In this paper we s