Description: 采用 CAMSHIFT 算法快速跟踪和检测运动目标的 C/C++ 源代码,该运行文件在VC6.0环境下编译通过，是一个 stand-alone 运行程序，不需要OPENCV的DLL库支持。在运行之前，请先连接好USB接口的摄像头。然后可以用鼠标选定欲跟踪目标。-CAMSHIFT algorithm using fast-track and detect moving targets C/C++ Source code, the run files in VC6.0 compiler environment is passed, is a stand-alone run the program, do not need the DLL library OPENCV support. Running before you connect a good camera USB interface. Can then be selected with the mouse For tracking the target. Platform: |
Size: 5120 |
Author:徐振华 |
Hits:
Description: 基于粒子滤波的雷达检测前跟踪算法，建立新的目标模型和观测模型，提出了线性扩展目标。能够检测1db的弱小目标。-A radar target track-before-detect (TBD) algorithm using particle filter (PF) is presented in this paper. System dynamic model and measurement model are established based on a sequence of radar range-Doppler measurements using the new algorithm. Furthermore, a linear xtended target model is proposed, which is more capable of describing a maneuvering target than the conventional point arget model. The likelihood ratio function of the new model is also derived in this paper. Due to the accumulation of the PF-TBD over time and the effectiveness of the proposed target model, an mproved
probability of detection for dim target is obtained. The experimental imulations demonstrate that the proposed method is capable of detecting and tracking a target with SNR of 1 dB robustly. Platform: |
Size: 919552 |
Author:fuyang |
Hits:
Description: 复杂环境中的微弱目标（如隐身飞机、被地/海/城市杂波淹没的目标等）探测
问题是现代雷达面临的严峻挑战。 与传统的先检测后跟踪（ DBT） 技术相比， 检
测前跟踪（TBD）技术是一种新兴的先进信号处理技术，它通过多帧回波数据积
累和联合处理，可以显著提高雷达的微弱目标检测跟踪性能， 是国际雷达界研究
的前沿热点。 TBD 作为一项正在发展中的新技术，还需要解决一些新的技术问题，
例如， 多目标跟踪维数灾难、临近目标相互干扰等，以及处理难度增加和运算量
增大带来的新问题。(The detection and tracking of low observable targets (e.g. stealth targets, targets
buried in strong clutter) in complex environment are great challenges for modern radar
systems. Different from the traditional detect-before-track (DBT) methods,
Track-before-detect (TBD) is a novel and efficient signal processing method which is
proposed in recent years to detect low observable targets, and has got much attention
internationally in radar research area. By jointly processing several data frames, TBD is
able to produce more reliable detection and tracking results. As a developing new
technique, TBD has its own problems and challenges. For example, existing studies on) Platform: |
Size: 55296 |
Author:Prezi |
Hits:
Search - track before detect