A network intelligent video analysis system based on multimedia DSP

Qi Wang, Qing Guan, Sheng Xu, Fang Tan
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引用次数: 1

Abstract

In this paper, we designed a hardware and software system using TI's new multimedia technology, Davinci based on multimedia DSP. The objective is to develop a practical Internet based intelligent video analysis product. This system can perform real-time processing of the video data from IP camera. And at the same time, it executes intelligent video analysis algorithms, provides users quick, accurate and intelligent video analysis service. In this system, we implement a multiple objects tracking approach for objects labeling being able to preserve objects identity even when an overlapping occurs on the image plane between different objects. And we use histogram matching techniques for real-time objects tracking under heavy occlusions and disappearance. We also compare our improved method with another objects tracking algorithm based on Mean Shift and Kalman filter. Experimental results show that the system is stable and fits real-time requirement, and the performance of our method is better.
基于多媒体DSP的网络智能视频分析系统
本文采用TI公司最新的多媒体技术——基于多媒体DSP的达芬奇,设计了一个硬件和软件系统。目的是开发一种实用的基于互联网的智能视频分析产品。该系统可以对来自网络摄像机的视频数据进行实时处理。同时,执行智能视频分析算法,为用户提供快速、准确、智能的视频分析服务。在该系统中,我们实现了一种多目标跟踪方法来标记目标,即使在不同目标之间在图像平面上发生重叠时也能保持目标的身份。利用直方图匹配技术实现了严重遮挡和消失情况下的实时目标跟踪。并与另一种基于Mean Shift和卡尔曼滤波的目标跟踪算法进行了比较。实验结果表明,系统运行稳定,符合实时性要求,该方法具有较好的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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