文件名称:TrafficDetection-master
- 所属分类：
- 图形图像处理(光照,映射..)
- 资源属性：
- [Matlab] [源码]
- 上传时间：
- 2017-09-24
- 文件大小：
- 5.93mb
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- 0次
- 提 供 者：
- O(∩_∩******
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一种综合多种算法的车辆检测和追踪方法，运行时间较长，但效果很棒(We implement a system for vehicle detection and
tracking from traffic video using Gaussian mixture models and
Bayesian estimation. In particular, the system provides robust
foreground segmentation of moving vehicles through a K-means
clustering approximation as well as vehicle tracking correspon-
dence between fr a mes by correlating Kalman and particle filter
prediction updates to current observations through the solution
of the assignment problem. In addition, we conduct performance
and accuracy benchmarks that show about a 90 percent reduc-
tion in runtime at the expense of reducing the robustness of
the mixture model classification and about a 30 percent and 45
percent reduction in accumulated error of the Kalman filter and
particle filter respectively as compared to a system without any
prediction.)
tracking from traffic video using Gaussian mixture models and
Bayesian estimation. In particular, the system provides robust
foreground segmentation of moving vehicles through a K-means
clustering approximation as well as vehicle tracking correspon-
dence between fr a mes by correlating Kalman and particle filter
prediction updates to current observations through the solution
of the assignment problem. In addition, we conduct performance
and accuracy benchmarks that show about a 90 percent reduc-
tion in runtime at the expense of reducing the robustness of
the mixture model classification and about a 30 percent and 45
percent reduction in accumulated error of the Kalman filter and
particle filter respectively as compared to a system without any
prediction.)
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下载文件列表
TrafficDetection-master
TrafficDetection-master\Traffic_Detection_Estimation_Theory.pdf
TrafficDetection-master\addModel.m
TrafficDetection-master\centroidMatching.m
TrafficDetection-master\colorBox.m
TrafficDetection-master\connectedComponentCleanup.m
TrafficDetection-master\findNewLabel.m
TrafficDetection-master\foregroundEstimation.m
TrafficDetection-master\hungarian.m
TrafficDetection-master\initColorBoxes.m
TrafficDetection-master\initMatch.m
TrafficDetection-master\justCarsTrim.avi
TrafficDetection-master\matchingCriterion.m
TrafficDetection-master\matchingCriterionProb.m
TrafficDetection-master\particleMeasureUpdate.m
TrafficDetection-master\particleTimeUpdate.m
TrafficDetection-master\readMe.txt
TrafficDetection-master\removeModel.m
TrafficDetection-master\segmentBackground.m
TrafficDetection-master\vehicleTracking.m
TrafficDetection-master\vehicleTrackingParticle.m
TrafficDetection-master\Traffic_Detection_Estimation_Theory.pdf
TrafficDetection-master\addModel.m
TrafficDetection-master\centroidMatching.m
TrafficDetection-master\colorBox.m
TrafficDetection-master\connectedComponentCleanup.m
TrafficDetection-master\findNewLabel.m
TrafficDetection-master\foregroundEstimation.m
TrafficDetection-master\hungarian.m
TrafficDetection-master\initColorBoxes.m
TrafficDetection-master\initMatch.m
TrafficDetection-master\justCarsTrim.avi
TrafficDetection-master\matchingCriterion.m
TrafficDetection-master\matchingCriterionProb.m
TrafficDetection-master\particleMeasureUpdate.m
TrafficDetection-master\particleTimeUpdate.m
TrafficDetection-master\readMe.txt
TrafficDetection-master\removeModel.m
TrafficDetection-master\segmentBackground.m
TrafficDetection-master\vehicleTracking.m
TrafficDetection-master\vehicleTrackingParticle.m