Object detection in a maritime environment : performance evaluation of background subtraction methods

• Main Authors: Prasath, Chandrashekar Krishna, Rajan, Deepu, Rachmawati, Lily, Rajabally, Eshan, Quek, Chai, Prasad, Dilip Kumar
• Other Authors: School of Computer Science and Engineering
• Format: Article
• Language: English
• Published: 2019
• Subjects: Engineering::Computer science and engineering; Autonomous Automobiles; Maritime Vehicles
• Online Access: https://hdl.handle.net/10356/84193; http://hdl.handle.net/10220/50180
• Institution: Nanyang Technological University

This paper provides a benchmark of the performance of 23 classical and state-of-the-art background subtraction (BS) algorithms on visible range and near infrared range videos in the Singapore Maritime dataset. Importantly, our study indicates the limitations of the conventional performance evaluatio...