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Real Time Object Detection and Tracking using Deep Learning and Opencv - 2018

Real Time Object Detection And Tracking Using Deep Learning And Opencv

Research Paper on Real Time Object Detection And Tracking Using Deep Learning And Opencv

Research Area:  Machine Learning

Abstract:

Deep learning has gained a tremendous influence on how the world is adapting to Artificial Intelligence since past few years. Some of the popular object detection algorithms are Region-based Convolutional Neural Networks (RCNN), Faster-RCNN, Single Shot Detector (SSD) and You Only Look Once (YOLO). Amongst these, Faster-RCNN and SSD have better accuracy, while YOLO performs better when speed is given preference over accuracy. Deep learning combines SSD and Mobile Nets to perform efficient implementation of detection and tracking. This algorithm performs efficient object detection while not compromising on the performance.

Keywords:  
Real Time Object Detection
Deep Learning
Opencv
Machine Learning

Author(s) Name:   G Chandan; Ayush Jain; Harsh Jain; Mohana

Journal name:  

Conferrence name:  International Conference on Inventive Research in Computing Applications (ICIRCA)

Publisher name:  IEEE

DOI:  10.1109/ICIRCA.2018.8597266

Volume Information: