Perceiving Motion From Dynamic Memory for Vehicle Detection in Surveillance Videos.

Most existing video-based object detection methods utilize successful image-based object detector as a base network, and additionally exploit temporal information with either bounding-box post-processing or feature enhancement from multiple frames. However, little work has been done on directly modeling temporal motion in an efficient way for detection in surveillance videos. In this paper, a simp...