ABSTRACT
In the paper, we propose a video object recognition algorithm based on the KNN algorithm. This paper selected some low-level features of video, such as grayscale, color and two-dimensional wavelet feature. Some similarity determination methods were analyzed in the paper. The experimental results show that the algorithm is effective and feasible in monitor video.
