复杂图象序列的自适应目标提取和跟踪方法

本文根据视知觉原理研究了提取和跟踪复杂图象中运动目标的计算模型和算法，分析和检验了改变模型有关参数对图象分割门限的影响。与某些常规算法不同的是，新方法综合考虑了目标一背景条件、视觉非线性、帧间相关性和差异性，目标提取作为一个完整瓣两步过程包括三个准则和一个快速寻优算法，目标跟踪使用二值模板匹配，给出了在可见光图象序列上的实验结果。

An Adaptive Approach to Object Extraction and Tracking in Complex lmage Sequences

The problem of computational model and algorithm for extracting and tracking objects moving in complicated scenes has been studied from the viewpoint of visual perception. The effect of changing model parameters on optimum threshold selection for image segmentation has been analysed and tested.It is different to conventional algorithms that the new approach proposed integrates proper object background condition,visual nonlinearity,interframe correlativity and differences into a two-step segmentation process which includes three criteria and a fast optimizing procedure.Object tracking is then implemented by binary template matching.The experiments conducted on visibleband image sequences are reported.