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无需摄像机标定的摄像机运动跟踪算法
Moving Object Detection Video Surveillance and its Applicationinand Monitoring-Without camera calibration of the camera motion tracking algorithm for Moving Object Detection Video Surveillance and its Applicationinand Monitoring
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A complete methodology for object tracking using a ball example and it also deals in reducing run time by using an optimized colour detection based algorithm
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A Change Information Based Fast Algorithm for Video Object Detection and Tracking.
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We present a parallel implementation of a histogram-based particle filter for object tracking on smart
cameras based on SIMD processors. We specifically focus on parallel computation of the particle weights
and parallel construction of the featur
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用于基于视频运动目标的跟踪，该算法融合了颜色直方图和梯度方向直方图的特征,能够更加精确地表征目标,较大地提高了视频目标跟踪的准确度和鲁棒性。-For video motion-based target tracking, the algorithm combines the color histogram and gradient direction histogram feature, to more accurately characterize the target, greatly im
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团块视频运动物体跟踪，基础源代码，改进其算法，可在原有算法基础上添加-Clumps video moving object tracking, the underlying source code, to improve the algorithm can be added on the basis of the original algorithm
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视频监控中运动目标检测、跟踪与行为识别算法的研究(Research on moving object detection, tracking and behavior recognition algorithm in video surveillance)
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This paper presents an online feature selection algorithm
for video object tracking. Using the object and background
pixels from the previous frame as training samples, we model the
feature selection problem as finding a good subset of features to
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显着区域检测是计算机视觉中长期存在的问题。它旨在找到最能吸引人眼睛注意的图像中的像素或区域。准确和可靠的显着性检测可以从视觉追踪和识别到图形图像处理等众多任务中受益。例如，成功的对象检测算法有助于自动图像分割，更可靠的对象检测，有效的图像缩略和重定位(Significant regional detection is a long-term problem in computer vision. It aims to find the pixels or regions of the most
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In this paper, we present a simple yet fast and robust algorithm which exploits the spatio-temporal context for visual tracking. Our approach formulates the spatio-temporal relationships between the object of interest and its local context based on a
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