Title :
Realtime Vision Based Multi-Target-Tracking with Particle Filters in Automotive Applications
Author :
Idler, Corvin ; Schweiger, Roland ; Paulus, Dietrich ; Mahlisch, M. ; Ritter, Werner
Author_Institution :
Inst. for Computational Visualistics, Univ. Koblenz-Landau, Koblenz
Abstract :
In the following we present a multi-instance-based multi-target-tracking method using particle filters. We developed a robust and flexible system capable of tracking an unknown and changing number of objects (vehicles) using early-vision image features. The system works in real time
Keywords :
computer vision; particle filtering (numerical methods); real-time systems; target tracking; traffic engineering computing; automotive applications; early-vision image features; flexible system; multitarget-tracking; particle filters; realtime vision; robust system; vehicle tracking; Automotive applications; Image edge detection; Infrared detectors; Infrared imaging; Particle filters; Radar imaging; Radar tracking; Robustness; Target tracking; Vehicle detection;
Conference_Titel :
Intelligent Vehicles Symposium, 2006 IEEE
Conference_Location :
Tokyo
Print_ISBN :
4-901122-86-X
DOI :
10.1109/IVS.2006.1689626
