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视频图像处理在输电线路安防系统的应用 被引量:14
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作者 张烨 黄新波 +3 位作者 李菊清 张慧莹 刘新慧 邢晓强 《广东电力》 2016年第5期102-107,共6页
介绍了一种基于视频图像差异化分析的输电线路安防系统。图像采集模块通过摄像机捕获和监视场景的光学图像,经模数转换输出数字视频图像,为视频图像处理提供数据。后台专家软件通过调用视频差异化算法对采集的图像进行分析处理,利用边... 介绍了一种基于视频图像差异化分析的输电线路安防系统。图像采集模块通过摄像机捕获和监视场景的光学图像,经模数转换输出数字视频图像,为视频图像处理提供数据。后台专家软件通过调用视频差异化算法对采集的图像进行分析处理,利用边缘检测、特征提取、背景建模、目标跟踪和背景差分等图像处理和模式识别的方法,自动识别出输电线路的多种安全隐患,如大型机械靠近作业、飘撞物、导线覆冰、大风天气产生的导线舞动以及在高负荷状态时出现的弧垂等,并产生预警信号。实验结果表明算法可在多种室外环境下工作,满足实际应用的要求。最后指出复杂环境下的输电线路图像识别算法是进一步研究的方向。 展开更多
关键词 安防系统 视频图像处理 边缘检测 混合高斯模型 运动目标跟踪法
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An improved method for multiple targets tracking 被引量:2
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作者 朱青 刘宏立 +4 位作者 陈炳权 李劲菊 万琴 孙猛 袁小芳 《Journal of Central South University》 SCIE EI CAS 2012年第10期2852-2859,共8页
The difficulty of multiple targets tracking is how to quickly fulfill the target matching from one flame image to another and fix the position of the target. In order to accurately choose target feature information fo... The difficulty of multiple targets tracking is how to quickly fulfill the target matching from one flame image to another and fix the position of the target. In order to accurately choose target feature information for reliable matching, simplify operations under the reliable precondition, and realize precise moving objects tracking, an approach based on Kalman prediction and feature matching was proposed. The position of the target in next frame image was predicted by Kalman, and then the moving objects of two adjacent frames were matched by the centroid and area methods. When occlusion occurs, the best matching result was found to realize tracking by matching matrix algorithm. The simulation results show that the proposed method can achieve multiple targets tracking accurately and in real-time under complicated motion movements. 展开更多
关键词 Kalman prediction feature matching centroid and area matching equations image occluded processing matchingmatrix algorithm
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Moving Target Tracking Based on LogGabor Wavelet and Mean-shift Algorithm
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作者 DU Xian-yan HAN Xiao-jun LU Wei-wei 《Semiconductor Photonics and Technology》 CAS 2009年第2期81-85,96,共6页
Tracking moving target from image or video sequence is a hot research topic in computer vision. An algorithm based on LogGabor wavelet and Mean-shift has been proposed for moving target tracking under fixed camera set... Tracking moving target from image or video sequence is a hot research topic in computer vision. An algorithm based on LogGabor wavelet and Mean-shift has been proposed for moving target tracking under fixed camera setting and complicated environment. Phase coherency of LogGabor wavelet facilitates to extract the edge of moving target and check noise. According to the edge detection,the starting location of Mean-shift can be estimated using the target center coordinate. Eventually,a real-time moving target can be extracted by doing iterative matching pursuit,and experimental results proved the effectiveness of the method proposed. 展开更多
关键词 Mean-shift algorithm phase congruency LogGabor wavelet transformation target tracking
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Area Variation Based Color Snake Algorithm for Moving Object Tracking
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作者 Shoum-ik ROYCHOUDHURY Young-joon HAN 《Journal of Measurement Science and Instrumentation》 CAS 2010年第1期46-49,共4页
A snake algorithm has been known that it has a strong point in extracting the exact contour of an object. But it is apt to be influenced by scattered edges around the control points. Since the shape of a moving object... A snake algorithm has been known that it has a strong point in extracting the exact contour of an object. But it is apt to be influenced by scattered edges around the control points. Since the shape of a moving object in 2D image changes a lot due to its rotation and translation in the 3D space, the conventional algorithm that takes into account slowly moving objects cannot provide an appropriate solution. To utilize the advantages of the snake algorithm while minimizing the drawbacks, this paper proposes the area variation based color snake algorithm for moving object tracking. The proposed algorithm includes a new energy term which is used for preserving the shape of an object between two consecutive images. The proposed one can also segment precisely interesting objects on complex image since it is based on color information. Experiment results show that the proposed algorithm is very effective in various environments. 展开更多
关键词 color snake algorithm area variation moving object tracking snake energy SEGMENTATION
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