Trajectory occlusion handling with multiple-view distance-minimization clustering

Mikhail Mozerov; Ariel Amato; Xavier Roca; Jordi Gonzalez

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Trajectory occlusion handling with multiple-view distance-minimization clustering

机译：多视角距离最小化聚类的轨迹遮挡处理

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摘要

A robust and efficient method for overcoming the negative effects of long-time occlusion in the tracking process is presented. The proposed approach is based on the matching of multiple trajectories in time. Trajectories are sets of 2-D points in time and in a joint ground plane of the world coordinate system. In order to avoid mismatches due to possible measurement outliers, we introduce an integral distance between compared trajectories. The proposed method can also be considered as an interpolation algorithm for a disconnected trajectory during the blackout. Thus this technique solves one of the most difficult problems of occlusion handling: the matching of two unconnected parts of thernsame trajectory.

机译：提出了一种鲁棒，有效的方法来克服跟踪过程中长时间遮挡的负面影响。所提出的方法基于多个轨迹在时间上的匹配。轨迹是在世界坐标系的联合地平面中的二维时间点集。为了避免由于可能的测量异常值而导致的不匹配，我们在比较轨迹之间引入了一个整数距离。提出的方法也可以被视为停电期间断开轨迹的插值算法。因此，该技术解决了遮挡处理中最困难的问题之一：相同轨迹的两个未连接部分的匹配。

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来源
《Optical engineering》 |2008年第4期|047202.1-047202.9|共9页
作者
Mikhail Mozerov; Ariel Amato; Xavier Roca; Jordi Gonzalez;
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作者单位

Universitat Autonoma de Barcelona Computer Vision Center and Departament d'Informatics 08193 Cerdanyola, Spain;

Universitat Autonoma de Barcelona Computer Vision Center and Departament d'Informatics 08193 Cerdanyola, Spain;

Universitat Autonoma de Barcelona Computer Vision Center and Departament d'Informatics 08193 Cerdanyola, Spain;

Institut de Robotica i Informatica Industrial (UPC-CSIC) Edifici U Pare Tecnologic de Barcelona Barcelona 08028, Spain;

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收录信息美国《科学引文索引》(SCI);美国《工程索引》(EI);
原文格式 PDF
正文语种 eng
中图分类
关键词
motion analysis; trajectory tracking; occlusion handling;

机译：运动分析;轨迹跟踪;遮挡处理;

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1. Fast multiple-view L_2 triangulation with occlusion handling [J] . G. Chesi, Y.S. Hung Computer vision and image understanding . 2011,第2期

机译：带遮挡处理的快速多视图L_2三角剖分
2. Ship-handling behavior pattern recognition using AIS sub-trajectory clustering analysis based on the T-SNE and spectral clustering algorithms [J] . Gao Miao, Shi Guo-You Ocean Engineering . 2020,第Juna1期

机译：基于T-SNE和光谱聚类算法的AIS子轨迹聚类分析，船舶处理行为模式识别
3. An occlusion-aware particle filter tracker to handle complex and persistent occlusions [J] . Kourosh Meshgi, Shin-ichi Maeda, Shigeyuki Oba, Computer vision and image understanding . 2016,第Sepa期

机译：可以识别咬合的粒子过滤器跟踪器，用于处理复杂且持久的咬合
4. Human Detection with Occlusion Handling by Over-Segmentation and Clustering on Foreground Regions [C] . Li Wang, Kap Luk Chan, Gang Wang Asian conference on computer vision . 2013

机译：用遮挡处理通过过分分割和聚类在前景地区的人类检测
5. Statistical and geometric methods for visual tracking with occlusion handling and target reacquisition. [D] . Lee, Jehoon. 2012

机译：用于遮挡处理和目标重新捕获的视觉跟踪的统计和几何方法。
6. Review of methods for handling confounding by cluster and informative cluster size in clustered data [O] . Shaun Seaman, Menelaos Pavlou, Andrew Copas -1

机译：综述了处理聚类数据中的聚类和信息性聚类大小的混淆方法
7. Fast multiple-view L2 triangulation with occlusion handling [O] . Hung YS, Chesi G 2011

机译：具有遮挡处理的快速多视图L2三角测量

Trajectory occlusion handling with multiple-view distance-minimization clustering

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