A 3d feature is extracted from the accumulation and main motion orientation, and a Bayesian classifier is used for smoke detection.
根据累积量和主运动方向提取出3维特征矢量，采用贝叶斯分类器进行烟雾的检测。
In order to accelerate detection speed, video images are divided into blocks. Each block motion orientation is estimated by block matching methods.
为了加快检测速度，将视频图像分割成大小相等的块，并估计每个块的运动方向。
A new motion target detection and orientation method is proposed.
提出了一种新的运动目标检测与定位方法。
A new motion target detection and orientation method is proposed.
提出了一种新的运动目标检测与定位方法。
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