This paper presents a novel algorithm based on visual attention model to detect blob targets in optical and infrared images.
针对可见光和红外图像中的各类团块目标，提出一种基于视觉注意模型的团块目标检测方法。
Monocular hand gesture recognition systems usually model a human hand as a pixel or a blob by which the motion of the whole hand are analyzed and the appearance features are extracted.
单目视觉的手势识别系统，通常把人手建模成一个像素或者一块，从整体上分析手势的运动参数并提取表观特征。
Monocular hand gesture recognition systems usually model a human hand as a pixel or a blob by which the motion of the whole hand are analyzed and the appearance features are extracted.
单目视觉的手势识别系统，通常把人手建模成一个像素或者一块，从整体上分析手势的运动参数并提取表观特征。
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