Rapid and robust background modeling technique for low-cost road traffic surveillance systems

• Main Authors: Garg, Kratika, Ramakrishnan, Nirmala, Prakash, Alok, Srikanthan, Thambipillai
• Other Authors: School of Computer Science and Engineering
• Format: Article
• Language: English
• Published: 2021
• Subjects: Engineering::Computer science and engineering; Intelligent Transport Systems; Adaptation Models
• Online Access: https://hdl.handle.net/10356/147723
• Institution: Nanyang Technological University

Fast and accurate detection of vehicles on road traffic scenes captured by traffic surveillance cameras, is essential for large-scale deployment of automated traffic surveillance systems. The state-of-the-art techniques typically employ background modeling for low-complexity foreground detection. Ho...