搜索资源列表
ROTEsys_src
- 静动态视频算法This Project basically related to Object Tracking and Real Time Video Enhancement. We Mr Sheeraz and Mr Imran Malik done this project as a Final Project of BS(cs) Degree This Project is divided in to four main Modules -static and dynamic
对缓慢运动的对象进行跟踪提取检测
- 视频对象跟踪检测，有效对缓慢运动的对象进行跟踪提取检测,Video object tracking detection, effective on the slow movement of the object detection tracking Extraction
NguyenthiLanHuong_K47CA_Cnom
- object detection and tracking for smart video surveillance
py
- 本程序用于提取背景检测运动物体，并对物体进行跟踪，数据来源可以是视频文件或者摄像头。-This procedure used to extract the context of moving object detection and tracking objects, data sources can be a camera or video files.
gpac_regression_tests-0.2.3
- it s an object tracking project
Object_Tracker
- 已调试通过，复杂背景下视频对象的跟踪提取原代码，能够有效地识别运动的人和物体，边缘准确，不受场景的影响 -Has been debugged, complex background extraction of video object tracking source code, can effectively identify the movement of people and objects, edge accuracy, from the scene of
FYP3
- Foreground object tracking by method of frame difference using OpenCV 2.1
Motion-Detection-and-tracking
- tracking moving object
camshift-code
- camshift目标跟踪代码：跟踪摄像头或者视频文件中的手动画出的目标区域-the code for camshift object detection and tracking
code
- 视频目标检测与跟踪实现代码,简单实现运动车辆的目标检测和跟踪-Video object detection and tracking code
OpenVS_GUI_release_1.1.win32
- Includes a framework and various methods of motion detection, enhancement, object tracking
Egg-Shap-Tracking
- Object Tracking using Egg shape boundary model with failure detection and recovery methods using HSV color space
sklm-AAM
- 唇形跟踪，对象为唇部。 matlab仿真成功后需用VC实现并设计界面-Lip tracking, object for lip
code
- Robust Object Tracking via Sparsity-based Collaborative Model
DLTcode
- Robust Non-negative Dictionary Learning for Visual Tracking The provided codes could be either embedded into the benchmark framework of paper Online Object Tracking: A Benchmark (CVPR2013) (You can find details here: http://visual-tracking.net/) or
OpenTLD-master
- TLD算法代码。TLD(Tracking-Learning-Detection)是英国萨里大学的一个捷克籍博士生Zdenek Kalal在其攻读博士学位期间提出的一种新的单目标长时间（long term tracking）跟踪算法。该算法与传统跟踪算法的显著区别在于将传统的跟踪算法和传统的检测算法相结合来解决被跟踪目标在被跟踪过程中发生的形变、部分遮挡等问题。同时，通过一种改进的在线学习机制不断更新跟踪模块的“显著特征点”和检测模块的目标模型及相关参数，从而使得跟踪效果更加稳定、鲁棒、可靠。-T
motion
- Motion Detection of object and tracking the features
code
- particle filter in tracking object
matlab-Kalman-Filter-for-Object-Tracking
- matlab Kalman filter for object tracking
程序与示例视频
- 可以实现视频中物体的跟踪，基本可以实现效果，但有待于改进(Object tracking in video can be achieved)