Motion-based object tracking method for safety at level crossing

Salmane Houssam; Khoudour Louahdi; Ruichek Yassine

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Motion-based object tracking method for safety at level crossing

机译：基于运动的平交安全目标跟踪方法

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摘要

This paper presents a tracking method to detect and track independently moving targets, attempting to traverse the railway, in monocular camera sequences. This method is capable of tracking the maximum number of pixels belonging to an object. The method starts by detecting and separating moving objects due to background subtraction and an energy vector-based clustering. Next, the method performs the step of tracking locally. Tracking starts by generating initial optical flow of all object pixels by propagating the optical flow of Harris corner points (calculated by Lucas-Kanade technique) using normal distribution. An iterative procedure, including Kalman filtering with adaptive parameters, color intensity difference-based optimization, and validation constraints, is then implemented to reach precise and robust optical flow estimation for the majority of the pixels of the tracked objects. Different experimental results are presented, evaluated, and discussed to show the effectiveness of the method of tracking objects that may move in complex and overlapping trajectories. (C) 2016 SPIE and IS&T

机译：本文提出了一种跟踪方法，用于检测和跟踪单目相机序列中试图穿越铁路的独立移动目标。此方法能够跟踪属于对象的最大像素数。该方法开始于检测和分离由于背景扣除和基于能量矢量的聚类引起的运动对象。接下来，该方法执行本地跟踪的步骤。通过使用正态分布传播哈里斯角点的光流（通过Lucas-Kanade技术计算），通过生成所有对象像素的初始光流来开始跟踪。然后，执行迭代过程，包括具有自适应参数的卡尔曼滤波，基于色强度差的优化和验证约束条件，以针对被跟踪对象的大多数像素实现精确而鲁棒的光流估计。呈现，评估和讨论了不同的实验结果，以显示跟踪可能在复杂和重叠的轨迹中移动的对象的方法的有效性。（C）2016 SPIE和IS＆T

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来源
《Journal of electronic imaging》 |2016年第5期|051208.1-051208.16|共16页
作者
Salmane Houssam; Khoudour Louahdi; Ruichek Yassine;
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作者单位

Univ Orleans, Prisme Lab, Signal & Image Grp, 12 Rue Blois, F-45000 Orleans, France;

CEREMA, Ctr Studies & Expertise Risks Environm Mobil & Ur, 1 Ave Colonel Roche, F-31400 Toulouse, France;

Univ Technol Belfort Montbeliard, IRTES Set Lab, 12 Rue Thierry Mieg, F-90000 Belfort, France;

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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
clustering; optical flow propagation; Kalman filter; iterative Lucas-Kanade; safety; optimization; level crossing;

机译：聚类;光流传播;卡尔曼滤波;Lucas-Kanade迭代;安全性;优化;平交;

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Motion-based object tracking method for safety at level crossing

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