TY - JOUR
T1 - Automatic detection of vehicle occupants
T2 - The imaging problem and its solution
AU - Pavlidis, I.
AU - Symosek, P.
AU - Fritz, B.
AU - Bazakos, M.
AU - Papanikolopoulos, N.
PY - 2000/4
Y1 - 2000/4
N2 - The automatic detection and counting of vehicle occupants is a challenging research problem that was given little attention until recently. An automated vehicle-occupant-counting system would greatly facilitate the operation of freeway lanes reserved for car pools (high occupancy vehicle lanes or HOV lanes). There are three major aspects of this problem: (a) the imaging aspect (sensor phenomenology), (b) the pattern recognition aspect, and (c) the system architecture aspect. In this paper, we present a solution to the imaging aspect of the problem. We propose a novel system based on fusion of near-infrared imaging signals and we demonstrate its adequacy with theoretical and experimental arguments. We also compare our solution to other possible solutions across the electromagnetic spectrum, particularly in the thermal infrared and visible regions.
AB - The automatic detection and counting of vehicle occupants is a challenging research problem that was given little attention until recently. An automated vehicle-occupant-counting system would greatly facilitate the operation of freeway lanes reserved for car pools (high occupancy vehicle lanes or HOV lanes). There are three major aspects of this problem: (a) the imaging aspect (sensor phenomenology), (b) the pattern recognition aspect, and (c) the system architecture aspect. In this paper, we present a solution to the imaging aspect of the problem. We propose a novel system based on fusion of near-infrared imaging signals and we demonstrate its adequacy with theoretical and experimental arguments. We also compare our solution to other possible solutions across the electromagnetic spectrum, particularly in the thermal infrared and visible regions.
KW - Detection of vehicle
KW - Near-infrared
KW - Sensor fusion
KW - Sensor phenomenology
UR - http://www.scopus.com/inward/record.url?scp=0001173004&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0001173004&partnerID=8YFLogxK
U2 - 10.1007/s001380050116
DO - 10.1007/s001380050116
M3 - Article
AN - SCOPUS:0001173004
SN - 0932-8092
VL - 11
SP - 313
EP - 320
JO - Machine Vision and Applications
JF - Machine Vision and Applications
IS - 6
ER -