Deep learning for object detection in video

Abstract

With the development of deep learning technology in recent years, more and more fields are introducing deep learning to accelerate the development of the industry. Deep learning technology was originally used for image recognition. Nowadays, with the continuous improvement of video monitoring, the application of deep learning to surveillance video has profound implications for areas such as transportation and unmanned vehicle. The effects of traditional video recognition are not satisfactory, and deep learning is excellent in many image classification scenes. In this paper, we proposed an object detection algorithm of video based on YOLO network to realize vehicle identification based on surveillance video.