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Document type:
Konferenzbeitrag 
Author(s):
Maximilian Kraus; Seyed Majid Azimi; Emec Ercelik; Reza Bahmanyar; Peter Reinartz; Alois Knoll 
Title:
AerialMPTNet: Multi-Pedestrian Tracking in Aerial Imagery Using Temporal and Graphical Features 
Abstract:
Multi-pedestrian tracking in aerial imagery has several applications such as large-scale event monitoring, disaster management, search-and-rescue missions, and as input into predictive crowd dynamic models. Due to the challenges such as the large number and the tiny size of the pedestrians (e.g. 4x4 pixels) with their similar appearances as well as different scales and atmospheric conditions of the images with their extremely low frame rates (e.g., 2~fps), current state-of-the-art algorithms inc...    »
 
Book / Congress title:
25th International Conference on Pattern Recognition (ICPR 2020) 
Congress (additional information):
accepted 
Year:
2020