Identification of Different Objects in Videos Using Yolo Detector

Authors

  • G. Divya, SP. Chokkalingam

Abstract

Surveillance camera is widely used in cities to provide safety of the public, Crime investigation, etc. It is highly impractical to monitor entire video to detect particular incident which increases time and manpower. Objects like human, vehicles, animals are detected automatically in streaming video using Convolutional Neural Network. Convolutional Neural Network is deep learning based technique Deep learning technique is highly recognized in numerous applications in a higher and crucial level is due to its accuracy. This techniques efficiency in electronics helps reaching user expectations. As a result of applying CNN approach it reduces time in search of specific event and gives high accuracy of detection. In this work, comparative study of various detection frameworks like YOLO, SSD, and RNN of tensor flow API. YOLO detector gives accuracy of 85% and reduces time.

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Published

2020-05-12

Issue

Section

Articles