一种高鲁棒性的高清视频在线识别算法

Robust High-definition Video Online Recognition Algorithm

为了提高高清视频图像识别的正确率和鲁棒性,提出一种高鲁棒性的高清视频在线识别算法。首先采集视频图像序列,然后对视频图像进行置乱和压缩,提高其鲁棒性,最后对视频图像进行识别,并采用具体实验对算法进行仿真测试。实验结果表明,该算法提高了视频识别的正确率,而且具有较好的实时性和鲁棒性,具有较高的实际应用价值。

In order to improve the accuracy and robustness of video image recognition, a robustness high-definition video of recog- nitionm algorithm is proposed in this paper. Firstly, video image sequences are collected, and then the video images are scrambled and compressed to improve its robustness. Finally, the video image is recognized and the experimental simulation is used to test the algorithm. The experimental results show that the proposed algorthim not only can improve the correct rate of video recognition, but also has better real-time and robustness, and has higher practical application value.