sigdemo1

Electric Field Vectors and Equipotential Lines of dipole+pics

Color can provide an efficient visual feature for tracking nonrigid objects in real-time. However, the color of an object can vary over time dependent on the illumination, the visual angle and the camera parameters. To handle these appearance changes a color-based target model must be adapted during temporally stable image observations. This paper presents the integration of color distributions into particle filtering and shows how these distributions can be adapted over time. A particle filter tracks several hypotheses simultaneously and weights them according to their similarity to the target model. As similarity measure between two color distributions the popular Bhattacharyya coefficient is applied. In order to update the target model to slowly varying image conditions, frames where the object is occluded or too noisy must be discarded.

本程序是西电博士开发关于角点检测的程序代码和相关的论文，学习和应用价值极大(Matlab codec of Corner Detection and Classification)

多目标跟踪，数字图像处理，个多目标跟踪的matlab代码，里面附有说明文档。其中背景差分法可以实现实时更新。该代码在检测与跟踪少量目标时效果很好，但是跟踪目标大于8后，效果下降很多(Multi-target tracking)

说明：  kalman滤波基本程序框架并针对匀速直线目标跟踪(kalman filter and the basic procedural framework for the uniform straight line tracking)

说明：  k均值分类 效率高 代码简单 利用最小均方误差准则编写(k-means efficient)

adaptive control tutorial第二章习题程序(chapter 2 of adaptive control tutorial)

Compute Distance in a fast slam application approach

Thinking on the matlab image processing, through four-dimensional perspective, involving multidisciplinary summary, as well as the threshold of the chaotic property

Eigen decomposition for facial recognition biometrics