Title :
Pedestrians Tracking Using Offboard Cameras
Author :
Aycard, Olivier ; Spalanzani, Anne ; Burlet, Julien ; Fulgenzi, Chiara ; Vu, Trung Dung ; Raulo, David ; Yguel, Manuel
Author_Institution :
GRAVIR-IMAG, Saint Ismier
Abstract :
In this paper, we detail the hardware and software perception system designed and developed to track pedestrians using a set of offboard cameras. It has been used in the context of vulnerable safety in a car park. This architecture is divided in two parts: a fusion part to fusion the data given by the set of offboard cameras and a tracking part to sequentially estimate the position of each pedestrian present in the environment and to determine the number of pedestrians. Finally, some experimental results are presented
Keywords :
image sensors; sensor fusion; traffic engineering computing; hardware perception system; offboard cameras; pedestrians tracking; position estimation; software perception system; Intelligent robots; Laser radar; Radar tracking; Road accidents; Robot vision systems; Sensor fusion; Sensor phenomena and characterization; Sensor systems; Smart cameras; Uncertainty; pedestrians tracking; perception; sensor data fusion;
Conference_Titel :
Intelligent Robots and Systems, 2006 IEEE/RSJ International Conference on
Conference_Location :
Beijing
Print_ISBN :
1-4244-0259-X
Electronic_ISBN :
1-4244-0259-X
DOI :
10.1109/IROS.2006.281662
