期刊
OPTICAL ENGINEERING
卷 47, 期 8, 页码 -出版社
SPIE-SOC PHOTO-OPTICAL INSTRUMENTATION ENGINEERS
DOI: 10.1117/1.2965548
关键词
video surveillance; visual tracking; target detection
类别
资金
- EC [IST-027110]
- VIDI [IST-045547]
- Spanish MEC [TIN2006-14606, TIN2007-67896]
- CONSOLIDER-INGENIO 2010 [CSD2007-00018]
- European Social Fund Postdoctoral Fellowship from the Spanish MEC
Though it is the first step of a real video surveillance application, detection has received less attention than tracking in research on video surveillance. We show, however, that the majority of errors in the tracking task are due to wrong detection. We show this by experimenting with a multi object tracking algorithm based on a Bayesian framework and a particle filter. This algorithm, which we have named iTrack, is specifically designed to work in practical applications by defining a statistical model of the object appearance to build a robust likelihood function. Likewise, we present an extension of a background subtraction algorithm to deal with active cameras. This algorithm is used in the detection task to initialize the tracker by means of a prior density. By defining appropriate performance metrics, the overall system is evaluated to elucidate the importance of detection for video surveillance applications. (c) 2008 Society of Photo-Optical Instrumentation Engineers.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据