• The experiments confirm that this algorithm can segment the moving targets accurately, and track them robustly among the image sequence of hundreds of frames.

    实验表明,这种算法在长达数百帧的图像序列中,始终能准确地分割出运动目标,并稳定跟踪目标的运动。

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  • This algorithm avoids intervening in image sequence by man.

    该算法避免了图像序列排序中的人工干预。

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  • At the end of the paper, the whole algorithm is simulated with infrared image sequence.

    在本文的最后,采用红外图像序列对该算法进行模拟。

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  • In the color image sequence, the mean shift algorithm is an efficient method for tracking object.

    在彩色序列图像目标跟踪中,均值移位算法是一种有效的方法。

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  • Experiments are carried out on infrared image sequence, and the results verify the analysis ahead.

    采用红外图像序列进行了实验,实验结果验证了理论分析的正确性。

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  • This paper presents a novel segmentation method for image sequence recorded by a stationary camera.

    该文提出了一种固定场景下的图像序列自动分割的新方法。

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  • A novel and robust approach for target tracking in infrared image sequence is proposed in this paper.

    提出了一种新颖和鲁棒的红外图像序列中的目标跟踪方法。

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  • A new detection method of motion vector was proposed in order to stabilize image sequence with rotation.

    针对帧间旋转图像序列的稳定处理,提出一种新的运动矢量探测方法。

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  • Interframe prediction coding algorithm for narrow band low bit rate image sequence is presented in this paper.

    主要研究适于窄带低码率活动图像的帧间预测编码算法。

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  • A new method for image sequence object detection based on the normalized cross correlation coefficient is proposed.

    提出一种基于归一化互相关系数的图像序列运动目标检测方法。

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  • Furthermore, the performance of the proposed method is validated by registering the real ultrasonic image sequence.

    最后利用真实的超声序列图像进一步验证了该方法的性能。

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  • In view of the faults of traditional method, a new background subtraction method for video image sequence is proposed.

    针对传统背景提取算法的不足,提出一种新的视频序列背景提取方法。

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  • Firstly, each frame in image sequence is distinguished between stationary and moving regions by using a motion detector.

    首先,利用运动检测器将图像序列的每一帧分割成静止区域与运动区域。

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  • This paper presents a new method for the detection of moving targets from image sequence based on high-er-order cumulants.

    文章提出一种基于高阶累积量的序列图象运动目标检测方法。

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  • To detect motion target under moving camera in an image sequence, it is often needed to register moving background at first.

    为检测运动背景中的动目标,通常需要进行运动背景补偿校正。

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  • This paper presents a vehicle targets detection method in image sequence based on background reconstruction with static camera.

    针对静态摄像条件下视频序列图像,提出一种基于背景重建的序列图像车辆目标检测方法。

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  • An algorithm of rapidly reconstructing texture of building facades from vehicle-based image sequence is presented in this paper.

    提出了一种基于车载序列影像的建筑立面纹理快速重建的方法。

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  • Study how to realize camera self-calibration directly from image sequence under special imaging condition (camera pure rotation).

    研究了在特殊成像条件(摄像机纯旋转)下直接由图像序列进行自标定的方法。

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  • In this paper, a color clustering method is introduced to reduce colors and get effective color representation of image sequence.

    本文介绍了一种颜色聚类的方法,在序列图象中进行颜色的量化,以获得有效的图象颜色的表征。

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  • The topic of the article is the detection of moving target, and this also means how to get the whole target from the image sequence.

    本文研究的主题是运动目标检测,即如何从图像序列中提取出完整的运动目标。

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  • This paper proposes a new algorithm on dim target detecting, recognition and tracking from an image sequence produced by an IR sensor.

    本文研究红外探测仪器产生的低信噪比序列图像中目标检测、识别及跟踪算法。

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  • The technology of point targets detection in infrared image sequence is a difficult subject of information processing in recent years.

    红外图像中点目标的检测技术是近年来信息处理研究的热点和难点之一。

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  • A method for tracking multiple targets based on measurement of target image centroid position and offset from image sequence is presented.

    介绍了一种以目标形心位置和帧间位移测量的多目标跟踪方法。

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  • A new algorithm presented here could be used to segment out moving objects in complex backgrounds on the basis of image sequence analysis.

    提出了一种利用序列图象从复杂背景中分割动目标图象的新算法。

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  • Finally, the true target can be accurately detected by removing noise interference based on continuity of moving target in the image sequence.

    最后,根据目标像素在序列图像中运动的连续性排除噪声干扰,从而准确地检测出真实目标。

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  • A trace algorithm based on2-D image sequence for flight target is presented and the realization technology of this algorithm is also discussed.

    给出了一种基于2 -D图像序列的飞行目标跟踪算法,并对其实现技术进行了讨论。

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  • A trace algorithm based on 2-d image sequence for moving target is presented and the realization technology of this algorithm is also discussed.

    首先给出了一种基于2 - D图像序列的运动目标跟踪算法,并对其实现技术进行了讨论。

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  • A new nonparametric algorithm based on mathematical morphology is proposed for the detection of dim moving point target in infrared image sequence.

    提出了一种新的基于数学形态学的红外图像序列中弱点状运动目标的非参数检测算法。

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  • Once the interest points were detected, the image matching process in an image sequence is performed using local gray-value differential invariants.

    在获得了兴趣点之后,利用兴趣点处的局部灰度差分不变量进行序列图像的点特征匹配。

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  • Once the interest points were detected, the image matching process in an image sequence is performed using local gray-value differential invariants.

    在获得了兴趣点之后,利用兴趣点处的局部灰度差分不变量进行序列图像的点特征匹配。

    youdao

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