Effective approach to camera zoom detection based on visual attention

Huang Jing-hua, Y. Yan-song
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引用次数: 3

Abstract

An effective approach based on geometric constraint of the motion vector field is proposed to detect camera zoom operation. The approach exploits the valid motion vectors to estimate the center of focus (COF) for zoom, and then calculates the average distance from the COF to valid motion vectors to identify zoom operation. To reduce the influence of object motion, Visual attention mechanism is employed to select valid motion vectors. Experimental results show that the proposed approach achieves a good performance.
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基于视觉注意的摄像机变焦检测方法
提出了一种基于运动矢量场几何约束的检测摄像机变焦操作的有效方法。该方法利用有效运动向量估计焦心(COF)进行变焦,然后计算焦心到有效运动向量的平均距离来识别变焦操作。为了减少物体运动的影响,利用视觉注意机制选择有效的运动向量。实验结果表明,该方法取得了良好的性能。
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