Real Time Object Detection and Tracking using Deep Learning

Abstract

Efficient Object Recognition and Tracking are main challenging assignments in computer vision techniques. A very big challenge in many object detection techniques using deep learning may lead to slow and non-accurate performance. This Project Aims to detect and tracking of objects efficiently and accurately in real time .Detecting any object is important in understanding object activities. Here we completely used deep learning networking techniques .The network is trained on most used and challenging dataset COCO. The result is very fast and accurate where object recognition is required.