基于多角度流预测评价度量的扩展目标跟踪与流控制模型

D. Cymbalák, O. Kainz, F. Jakab
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引用次数: 5

摘要

本文介绍了多摄像机环境下目标跟踪定位扩展模型的设计,实现了多角度流的实时控制。提出和实验实施的解决方案是试图通过流媒体技术提供场景中唯一的特定镜头,以实时显示跟踪对象的最佳视图。跟踪目标的最佳射击测量基于所提出的评价指标,该指标由从目标跟踪方法中收集的尺寸、位置和可靠性参数组成。为了优化评估的延迟和准确性,概述了评估指标的预测。并在标准环境和移动环境下对该方案进行了实验测试。本文所描述的方法在与内容相关的视频流传输方面具有创新性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Extended Object Tracking and Stream Control Model Based on Predictive Evaluation Metric of Multiple-Angled Streams
Paper describes the design of extended model for tracking and locating object in multi-cameras environment with controlling the streams from multiple angles in real time. Proposed and experimentally implemented solution is attempting to deliver via streaming technology of the only specific shot from scene that has the best view on tracked object in real time. Measurement of the best shot for the tracking object is based on proposed evaluation metric, consisting of dimensional, locational and reliability parameters gathered from object tracking methods. For latency optimization and accuracy of evaluation the prediction of evaluation metric was outlined. Solution is experimentally tested in standard and mobile environment as well. Approach described in this paper is innovative regarding the content related video stream delivery.
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