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基于DSP的说话人定位跟踪系统的设计
引用本文:曹洁,何裔玺. 基于DSP的说话人定位跟踪系统的设计[J]. 计算机工程与应用, 2013, 49(1): 163-166,190
作者姓名:曹洁  何裔玺
作者单位:1. 兰州理工大学 计算机与通信学院,兰州,730050
2. 兰州理工大学 计算机与通信学院,通信工程系,兰州730050
基金项目:甘肃省自然科学基金,甘肃省财政厅项目
摘    要:针对室内说话人实时定位跟踪不准确的问题,提出了一种基于TMS320DM6437硬件平台的音视频融合定位跟踪方法。该方法利用Kalman滤波器和Mean-shift算法搜寻说话人最优位置进行视频定位跟踪。同时,采用到达时间差的音频方法进行目标位置估计。由Kalman信息整合中心进行音视频融合,以提高视听系统定位跟踪的稳定性。实验结果表明,与单模态定位跟踪系统相比,该方法对320×240的图像可实现平均20frame/s的跟踪速度,能提高目标定位跟踪准确度17%,改进效果明显且稳定。

关 键 词:信息整合  声源定位  目标跟踪  Kalman滤波器

Design of speaker location and tracking system based on DSP
CAO Jie , HE Yixi. Design of speaker location and tracking system based on DSP[J]. Computer Engineering and Applications, 2013, 49(1): 163-166,190
Authors:CAO Jie    HE Yixi
Affiliation:1.School of Computer and Communication, Lanzhou University of Technology, Lanzhou 730050, China 2.Department of Tele-communication, School of Computer and Communication, Lanzhou University of Technology, Lanzhou 730050, China
Abstract:Aiming at the problem of inaccurate location and tracking for speaker in a meeting room, a method of location and tracking of audio visual fusion based on Digital Signal Processing(DSP)is proposed. Kalman filter and Mean-shift algorithm are used to seek optimal situation of speaker for visual location and tracking. Meanwhile, it uses Time Difference of Arrival to locate the target. Then Kalman information centre made audio and visual fused in order to advance stability of audio and visual system. The experimental results show that the processing for 320 pixels×240 pixels image achieves 20 frame/s, and the proposed method can rise target’s location and tracking precision of 17%, compared with single mode system, and improve the stability.
Keywords:information fusion   audio location   target tracking   Kalman filter
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