Deep Learning-based New Methods of Images Processing for Criminal Investigation

Abstract

Image processing has been widely used in criminal investigation. However, the robustness and real-time is contradictory for image processing of criminal investigation. To address the issue, we propose a new idea that images of criminal investigation are proceed by using deep learning networks. On the one hand, it is necessary to extract complex image features from the original image; on the other hand, deep learning is able to efficiently improve recognition ratio of objects. Based on these advantages, we propose the applications of deep learning in face recognition and pedestrian detection for criminal investigation. The simulation experiments show that the proposed method are able to quickly recognize face, and detect multi-pedestrian under complex environment, which is the basis of improving clear-up rate.