一种基于块的视频烟雾检测算法

为克服传统探测器的缺点, 提高视频烟雾检测算法的检测率, 提出一种基于运动块的视频烟雾检测算法. 该算法先采用帧差法提取运动块, 再分析由运动块组成连通域的面积和运动估计结果, 从而确定疑似烟雾区域. 通过二维离散小波变换提取高、 低频能量特征值, 并根据运动估计结果提取运动保持特征值, 综合各特征值判断是否有烟雾发生. 实验结果表明, 该方法能及时检测到烟雾, 鲁棒性较高、 抗干扰能力强, 能有效预防火灾.

A Block-Based Video Smoke Detection Algorithm

In order to overcome the shortcomings of conventional detectors and improve the detection rate of the current smoke detection algorithms,a new smoke detection approach based on motion block was proposed.Firstly,motion blocks were extracted by frame difference method.Then,candidate smoke regions were determined according to the area and the result of the motion estimation of every connected region.Lastly,the high/low frequency energy eigenvalues were obtained via discrete wavelet transformation and the movement maintenance eigenvalue was obtained according to the result of the estimated direction of movement.These eigenvalues were used to determine whether there is smoke.The experimental results prove that the proposed algorithm is robust,anti-disturb.It could detect the appearance of smoke timely and prevent fire effectively.