Pedestrians Detection of Offline Retail Stores Based on Computer Vision

Abstract

Pedestrian Detection is a sub-task in the object detection due to it plays an important role in video surveillance. This project train model algorithm by using offline retail data and intelligent identification based on the offline retail brand store scene and focuses on the two core personnel of the retail scene-shopping guides and customers. This project detects pedestrian's localization and their key points by using deep learning and computer vision technologies.