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Autor(en):
Szottka, Isabella; Butenuth, Matthias 
Titel:
Advanced Particle Filtering for Airborne Vehicle Tracking in Urban Areas 
Abstract:
Individual vehicle trajectories from airborne image sequences provide valuable input for traffic analysis. The main characteristics of the employed camera system are given by a pixel resolution between 4.5 and 12 cm and a frame rate of 2 Hz. Three problems of particle filtering for vehicle tracking are addressed as follows. First, an adaptive motion model is presented, which controls the spreading of the particle cloud in the search space of each vehicle. Second, a spatiotemporal particle guidin...    »
 
Stichworte:
Adaptation models, adaptive likelihood function, adaptive motion model, airborne image sequence, airborne vehicle tracking, Atmospheric modeling, camera system, Image processing, image sequences, Noise, object detection, particle filter, particle filtering, particle filtering (numerical methods), Robustness, spatiotemporal particle guiding, Standards, statistical analysis, target tracking, Tracking, traffic, traffic analysis, Urban areas, Vehicles, peer 
Zeitschriftentitel:
IEEE Geoscience and Remote Sensing Letters 
Jahr:
2014 
Band / Volume:
11 
Heft / Issue:
Seitenangaben Beitrag:
686--690 
Print-ISSN:
1545-598X 
Hinweise:
00005