Project title

WIDER Face and Persons Challenge 2019-Track 2: Pedestrian Detection

Submitted to:

  • Anugrah Srivastava
  • Kanak Manjari

Submitted By:

  1. Archit Garg
  2. Joel Thomas George
  3. Kevin Tom Thomas
  4. Sumit Rai

Project Description

Pedestrian Detection is an application of computer vision which is close to object detection, which has a wide range of applications. It can be used in surveillance monitoring, autonomous vehicles, face recognition, etc. This project is based on pedestrian detection that detects pedestrians and cyclists equally. The detector used must have high accuracy and precision. The model used is Faster R-CNN, which has more accurate than YOLOv3 but is comparatively slower.

Project Poster

Get Latest Notification about

Please ignore if you have already signed up.

Announcements, news and innovations!

From in your inbox.

By submitting this form, you are consenting to receive marketing emails from: Bennett University. You can revoke your consent to receive emails at any time by using the SafeUnsubscribe® link, found at the bottom of every email.