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Dual-bandinfraredsensorcentralizedtrackingTrackIni
- 双波段红外传感器目标跟踪集中式航迹起始方法-Dual-band infrared sensor centralized tracking Track Initiation Method
113172232Fusiello_epipolarrectification
- 近年来，红外成像系统的广泛应用使得红外图像序列中的目标跟踪技术得到了迅速的发展，但是，图像序列中的微弱点状动目标自身的难点（特点）给跟踪技术带来了挑战-In recent years, extensive use of infrared imaging system makes infrared target which in image sepuences tracking technology has a rapid development, but a big technical chal
HOGI
- 融合灰色预测和HOGI特征的红外目标跟踪方法，基于HoG特征的目标提取方法，可以用于灰度图像处理应用中。-Forecasting and HOGI features integrated infrared tracking method, based on the objectives HoG feature extraction method can be used for gray-scale image processing applications.
2
- 红外图像中点目标的检查与跟踪算法的研究。-Check of the infrared image of the midpoint of the target tracking algorithm.
tracking
- 该代码是红外目标粒子滤波跟踪算法，代码可以运行，且效果很好。-The code is infrared target tracking algorithm of particle filter, the code can be run, and the effect is very good.
RadaraIR
- 基于EKF的雷达与红外数据融合，通过状态向量融合与量测融合两种方法对多目标进行跟踪-EKF-based data fusion and infrared radar, through state vector fusion and measurement fusion of two methods for multi-target tracking
pf1
- 用改进的粒子滤波算法实现基于红外图像序列的目标跟踪- an improved particle filter tracking algorithm for target tracking based on infrared image sequences
Fusion_RadaraIR
- 基于EKF的雷达与红外数据融合，通过状态向量融合与量测融合两种方法对多目标进行跟踪-EKF-based data fusion and infrared radar, through state vector fusion and measurement fusion of two methods for multi-target tracking
hongwiashipi
- 基于人工神经网络的红外目标识别与跟踪，运行环境为VISUAL STUDIO OPENCV3环境-Based on artificial neural network infrared target recognition and tracking, the operating environment for the VISUAL STUDIO OPENCV3 environment
基于红外图像的弱小目标检测与跟踪
- 基于红外图像的弱小目标检测与跟踪，非常实用的检测小代码(Small target detection and tracking based on infrared image, very practical detection of small code)
红外微小目标检测
- 复杂背景中小目标的检测与跟踪一直是监视和告警系统的重要组成部分, 综合该领域近年来的研究成果, 从空间滤波和时间滤波的角度对现有的红外小目标检测方法进行了简单的概述, 并分析了今后的研究方向。(The detection and tracking of small and medium targets in complex background is an important part of the monitoring and warning system. A brief overview