A novel method for infrared object robust tracking based on particle filters was proposed.
提出了一种基于粒子滤波的红外目标稳健跟踪新方法。
A novel approach for object tracking based on deformable template model in image sequence is presented in the paper.
提出一种新的针对目标变形的模板匹配跟踪方法。
In the thesis, the algorithm of background subtracting, frame difference algorithm, motion estimation based on optical flow field and object tracking based on active shape contour are investigated.
本文研究了背景相减算法、差分法、基于光流场的运动估计和基于主动形状模型的目标跟踪算法。
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