搜索资源列表
cdicle-smot-c0fa39bc621e
- iccv2013 论文”The Way They Move: Tracking Targets with Similar Appearance”的matlab实现(matlab sourcecode for the ICCV2013 paper)
遗传算法实例
- Matlab遗传算法实例，可实现一元多峰函数优化、多元单峰函数优化、多元多峰函数优化，多目标优化(Example of Matlab genetic algorithm. It can realize one variable multimodal function optimization, multiple variable function optimization, multivariate multimodal function optimization, multi-objectiv
MSTSaliency-mex
- 基于最小生成树实现的显著性目标实时检测，是文章Real-Time Salient Object Detection with a Minimum Spanning Tree的源码(The real-time detection of salient target minimum spanning tree based on Real-Time Salient Object Detection is the with a Minimum Spanning Tree source code)
detect_face
- 采用MATLAB完成人脸检测，可实现在前景和背景差别较大的情况下完成检测，准确率较高，适用范围较广。(Using MATLAB to complete the face detection can realize the detection of the foreground and the background difference is bigger, the accuracy rate is high, and the scope of application is wider.)
txpp
- 对图像进行图像匹配，给定目标图像在原图像中找出并标记。(The image is matched, and the target image is found and marked in the original image.)
ukf
- 无迹滤波器matlab代码，可进行目标轨迹中的噪声滤除。(Unscented filter, it can be used to target tracking and state estimation.)
BINGObjectness-master
- matlab实现程明明的BING算法，对于后续比如目标检测、目标识别具有很大参考价值。(Matlab implementation of Cheng Mingming's BING algorithm.It has great reference value for the following target detection and target recognition.)
liziqunduomubiao
- 《Matlab智能算法30个案例分析》基于粒子群算法的多目标搜索算法(Multi objective search algorithm based on particle swarm optimization)
MOPSO
- 本人基于论文理解Matlab实现的用于多目标优化的粒子群优化算法MOPSO(Particle swarm optimization algorithm.)
bpsk_huibo
- 二相编码扩展目标回波，主要是延迟和随机相位(Binary phase coded target echo)
LFM_huibo
- 线性调频信号扩展目标回波，有关雷达发射波形并产生回波(Extended target echo of LFM signal)
模糊控制用于机器人避障
- 智能小车是移动机器人的一种，可通过计算机编程来实现其对行驶方向、启停以及速度的控制。要想让智能小车在行驶过程中能成功地避开障碍物，必须对其进行路径规划?，路径规划的任务是为小车规划一条从起始点到目标点的无碰路径。路径规划方法有：BP人工神经网络法（Back Propagation）、机器学习（Reinforcement Learning）、以及模糊控制（Fuzzy Control）方法等。模糊技术具有人类智能的模糊性和推理能力，在路径规划中，模糊推理的应用主要体现在基于行为的导航方式上，即将机器
Desktop
- 移动机器人自主避障系统的设计方法多种多样，其中基于模糊控制的机器人避障系统主要是利用模糊逻辑控制器对机器人周围环境信息进行分析和判断，并规划出一条到达目标点的无碰撞路径。该方法有着占用资源小，反应迅速，并能应对相对复杂的外部环境。本文主要以基于模糊控制原理对移动机器人避障路径规划所作的相关研究为主要内容。(There are many ways on autonomous mobile robot obstacle avoidance system designing, which bas
代码
- 基与遗传算法的动态规划,可以解决对于有时间窗约束的多目标车辆寻路问题(HUBThe dynamic programming of base and genetic algorithm can solve the problem of multi-objective vehicle routing problem with time window constraints)
蚁群算法
- 基于matlab的蚁群算法可以实现多目标的寻轨迹问题(Matlab based ant colony algorithm can achieve multi target tracking problem)
nsga
- NSGA2优化算法Matlab求解多目标优化问题,欢迎下载学习(NSGA2 optimization algorithm Matlab to solve multi-objective optimization problem, welcome to download and learn)
spMODE
- 该代码基于偏好实现了具有球形修剪的多目标差分进化算法的版本，有改进和处理的机制：多样性，针对性，多目标优化实例以及受限优化实例。(It is a MOEA with mechanisms to improve and deal with:Diversity, Pertinency, Many-objective optimization instances, Constrained optimization instances.)
TargetLocationSystems-master
- 请参考readme文件进行配置调试，进行多无人机目标定位仿真(Please refer to the readme file for configuration debugging)
BPTLD-master
- TLD目标跟踪算法matlab版本，需加摄像头调试(TLD tracking programming at matlab webcam is nessesary)
MOEAD
- 对多目标分解进行了一个很好的解释，值得大家参考(A good explanation for multi-objective decomposition is made, which is worthy of reference.)