Multi-target tracking using CNN-based features: CNNMTT

• Published in: Multimedia tools and applications Vol. 78; no. 6; pp. 7077 - 7096
• Main Authors: Mahmoudi, Nima, Ahadi, Seyed Mohammad, Rahmati, Mohammad
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.03.2019; Springer Nature B.V
• Subjects: Algorithms; Computer Communication Networks; Computer Science; Data Structures and Information Theory; Multimedia Information Systems; Multiple target tracking; Special Purpose and Application-Based Systems; Tracking-by-detection; Video surveillance; Multi-target tracking; Machine vision; Pedestrian tracking; Multi-Object tracking

In this paper, we focus mainly on designing a Multi-Target Object Tracking algorithm that would produce high-quality trajectories while maintaining low computational costs. Using online association, such features enable this algorithm to be used in applications like autonomous driving and autonomous...