A Survey of Multiple Pedestrian Tracking Based on Tracking-by-Detection Framework

• Published in: IEEE transactions on circuits and systems for video technology Vol. 31; no. 5; pp. 1819 - 1833
• Main Authors: Sun, Zhihong, Chen, Jun, Chao, Liang, Ruan, Weijian, Mukherjee, Mithun
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.05.2021; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Computer vision; data association; Machine learning; multiple pedestrian tracking; Noise measurement; Radar tracking; Task analysis; Tracking; tracking-by-detection; Trajectory; Video sequences; Visualization

Multiple pedestrian tracking (MPT) has gained significant attention due to its huge potential in a commercial application. It aims to predict multiple pedestrian trajectories and maintain their identities, given a video sequence. In the past decade, due to the advancement in pedestrian detection alg...