先进的低成本集群系统

G. Spampinato, A. Bruna, S. Curti, Viviana D'Alto
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引用次数: 3

摘要

本文档描述了一个从静止摄像机收集信息以识别移动物体的系统。所提出的解决方案仅使用从任何算法获得的相邻帧之间的运动向量。从它们开始,系统能够检索图像传感器设备获取的场景中运动物体的集群。由于所有的系统都是基于光流,所以它非常简单和快速,可以很容易地直接集成到低成本的相机中。实验结果表明,该方法具有快速、鲁棒性好。在2.3GHz处理器(ARM Cortex-A15)上,VGA序列的计算时间约为800帧/秒。此外,该系统已经测试了不同的应用,交叉交通报警和视频监控,在不同的条件下,室内和室外,不同的镜头,线性和鱼眼。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Advanced low cost clustering system
This document describes a system to gather information from a stationary camera to identify moving objects. The proposed solution makes only use of motion vectors between adjacent frames, obtained from any algorithm. Starting from them, the system is able to retrieve clusters of moving objects in a scene acquired by an image sensor device. Since all the system is only based on optical flow, it is really simple and fast, to be easily integrated directly in low cost cameras. The experimental results show fast and robust performance of our method. The computation time is about 800 frame/sec for a VGA sequence on a 2.3GHz processor (ARM Cortex-A15). Moreover, the system has been tested for different applications, cross traffic alert and video surveillance, in different conditions, indoor and outdoor, and with different lens, linear and fish-eye.
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