Abstract
Real-time tracking of vehicles is important for monitoring whether the roads are congested or not. How to achieve and maintain a high frame rate is a key problem to be solved in practical applications. In recent years, SORT, BOT-SORT [1] and other state-of-the-art target tracking algorithms have achieved fruitful results in target tracking tasks. The author combines YOLOv7(You Only Look Once v7) with bytetrack and compares the frame rate with some popular algorithms like Deepsort and bytetrack in real-time tracking to demonstrate that YOLOv7-bytetrack is more suitable for real-time detection, tracking of vehicles.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.