Real-Time Tracking of Multiple Skin-Colored Objects with a Possibly Moving Camera
Real-Time Tracking of Multiple Skin-Colored Objects with a Possibly Moving Camera
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DOI：
10.1007/978-3-540-24672-5_29
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发表时间：
2004-05
期刊：
影响因子：
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通讯作者：
Antonis A. Argyros;Manolis I. A. Lourakis
中科院分区：
文献类型：
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作者：
Antonis A. Argyros;Manolis I. A. Lourakis
提出了一种跟踪可能运动的摄像机采集的图像中多个肤色目标的方法。提出的方法包含了一系列技术，使得能够对肤色对象及其在图像序列中的时间关联进行建模和检测。肤色目标用贝叶斯分类器检测，贝叶斯分类器是用一小组训练数据自举的。然后，使用离线迭代训练过程来使用额外的训练图像来改进分类器。使用肤色概率的在线自适应来使分类器能够应对光照变化。随着时间的推移跟踪是通过一种新的技术实现的，该技术可以处理多个肤色的对象。这样的对象可能以复杂的轨迹移动，并且在可能移动的摄像机的视野中彼此遮挡。此外，跟踪的对象的数量可以随时间变化。所开发的系统的原型实现在传统奔腾4处理器上实时(28赫兹)地运行在320x240实时视频上。文中还给出了将该原型应用于图像序列的典型实验结果。
This paper presents a method for tracking multiple skin-colored objects in images acquired by a possibly moving camera. The proposed method encompasses a collection of techniques that enable the modeling and detection of skin-colored objects as well as their temporal association in image sequences. Skin-colored objects are detected with a Bayesian classifier which is bootstrapped with a small set of training data. Then, an off-line iterative training procedure is employed to refine the classifier using additional training images. On-line adaptation of skin-color probabilities is used to enable the classifier to cope with illumination changes. Tracking over time is realized through a novel technique which can handle multiple skin-colored objects. Such objects may move in complex trajectories and occlude each other in the field of view of a possibly moving camera. Moreover, the number of tracked objects may vary in time. A prototype implementation of the developed system operates on 320x240 live video in real time (28Hz) on a conventional Pentium 4 processor. Representative experimental results from the application of this prototype to image sequences are also provided.