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Research on Simultaneous Tracking of Moving Targets by Multiple Cameras 0277045CA 00262113

多摄像机同时跟踪运动目标的研究 0277045CA 00262113

基本信息

批准号：
13650270
负责人：
MIZOGUCHI Hiroshi
金额：
$ 2.24万
依托单位：
Tokyo University of Science (2002)Saitama University (2001)
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (C)
财政年份：
2001
资助国家：
日本
起止时间：
2001 至 2002
项目状态：
已结题

来源：
https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-13650270/
关键词：
Motion Detection Tracking Vision Optical Flow Multiple Targets Simultaneous Tracking Statistical Classification Separation of Multiple Motions Avoidance of Erroneous Correspondence 複数移動対象動き抽出相関演算誤対応除去偽フロー並行同時追跡

项目摘要

The purpose of this research is to establish a paraliel tracking vision technique which can continue carrying out tracking in detail and in high resolution simultaneously. By using two or more television cameras with high resolution but narrow view, two or more independently moving targets can be tracked simultaneously. For this purpose, the author have investigated the following topics as concrete research items and obtained several results described below1. Simultaneous detection and tracking of two or more moving targetsFirst, the author have tackled development of a techique to detect and track two or more moving targets. Specifically, difference between frames, masking processing, optical flow extraction, and statistical classification of the extracted flow are used to extract and classify motional elements in a view field. As a result of the extraction and classification, detection and tracking of moving targets have been succeeded2. Realizing robustness of optical flow extractio … More n by incorrect correspondence controlThe optical flow extraction mentioned above uses correlation based template matching. In order to realize robustness of the optical flow extraction, the author have tackled control of incorrect correspondence in the matching process. Concretely, success-or failure check of the matching is introduced. It considers situation of correlation value distribution in partial area, especially, existence of a peak, sharpness of the peak, and so forth. As a result, matching error and fake flow extraction can be controlled and avoided. Moreover, by matching both direction of time-axis order mutually, it succeeds in controlling extraction of fake flow except for fake correspondence of the object boundary. Its matching is impossible in essence3. Wide range tracking by cooperation of two or more camerasThe developed technique to extract and classify motional elements in the single camera view is applied to two or more cameras to realize wide range tracking. This is realized by giving template matching both temporally and spatially. Vision processing with each camera is so independent. And high parallelism for every camera can be expected. Thus parallelizing of the technique improve its performance Less

本研究的目的是建立一种能够同时进行详细和高分辨率跟踪的并行跟踪视觉技术。利用两台或多台高分辨率窄视场电视摄像机，可以同时跟踪两个或多个独立运动的目标。为此，笔者调查了以下主题作为具体的研究项目，并获得了以下几点结果：1。两个或两个以上运动目标的同时检测和跟踪首先，作者研究了两个或两个以上运动目标的同时检测和跟踪技术的发展。具体来说，通过帧间差异、掩蔽处理、光流提取和提取流的统计分类来提取和分类视场中的运动元素。通过对运动目标的提取和分类，实现了对运动目标的检测和跟踪。通过不正确的对应控制实现光流提取的鲁棒性。为了实现光流提取的鲁棒性，作者解决了匹配过程中不正确对应的控制问题。具体介绍了匹配的成败检验。它考虑了局部区域内相关值的分布情况，特别是峰的存在、峰的尖锐程度等。从而控制和避免了匹配误差和假流提取。此外，通过时间轴顺序两个方向的相互匹配，成功地控制了除目标边界伪对应外的伪流提取。它的匹配在本质上是不可能的。多摄像机协同大范围跟踪将发展的单摄像机视角运动元素提取与分类技术应用于多摄像机协同大范围跟踪。这是通过在时间和空间上给出模板匹配来实现的。每个摄像头的视觉处理是如此的独立。并且每个相机都可以实现高并行性。因此，该技术的并行化提高了其性能

项目成果

期刊论文数量（26）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

MIZOGUCHI Hiroshi, KANAMORI Tomohiko, OKABE Kosuke, HIRAOKA Kazuyuki, et al.: "Invisible Messenger : A System to Whisper in a Person's Ear Remotely by Integrating Visual Tracking and Speaker Array"Proceedings of 2002 International Technical Conference on

沟口宏、金森智彦、冈部浩介、平冈和幸等人：“隐形信使：通过集成视觉跟踪和扬声器阵列在人耳中远程耳语的系统”2002年国际技术会议论文集

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Kosuke Okabe, Hiroshi Mizoguchi, et al.: "Face Detection System by Camera Array that Satisfies both Wide View and High Resolution"Proceedings of AROB 8th ('03). 665-669 (2003)

Kosuke Okabe、Hiroshi Mizoguchi 等人：“满足宽视角和高分辨率的相机阵列人脸检测系统”AROB 第 8 期论文集 (03)。

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溝口博, 平松聖陽, 平岡和幸, 重原孝臣, 田中勝, 三島健稔: "動的表情認識のための動画像中の特定変化パターン検出"2002年電子情報通信学会総合大会講演論文集. (2002)

Hiroshi Mizoguchi、Seiyo Hiramatsu、Kazuyuki Hiraoka、Takaomi Shigehara、Masaru Tanaka、Kentoshi Mishima：“检测动态面部表情识别的运动图像中的特定变化模式”2002 年 IEICE 大会记录（2002 年）。