Brain-Computer Fusion Low-Quality Video Target Detection Method

Video target detection technology has made significant progress in recent years. However, in the face of low-quality video targets, traditional computer vision methods are limited by unclear features or missing information. In this paper, we propose an innovative video target detection method that combines computer vision techniques with non-invasive brain-computer interface (BCI) techniques, aiming to address the low robustness of computer vision with the high false alarm rate of BCI methods. This method combines the advantages of the two systems, combining the rapidity of computer vision technology and the high robustness and anti-interference of BCI technology. Experimental results show that the proposed method improves the detection performance of low-quality video target detection method, and achieves performance improvement compared with the single method. This paper brings new technical ideas to the field of video target detection, and also provides new possibilities for the expansion of BCI technology in practical applications.