TY - GEN
T1 - Temporal templates for detecting the trajectories of moving vehicles
AU - Jiménez, Hugo
AU - Salas, Joaquín
PY - 2009
Y1 - 2009
N2 - In this study, we deal with the problem of detecting the trajectories of moving vehicles. We introduce a method, based on the spatio-temporal connectivity analysis, to extract the vehicles trajectories from temporal templates, spanned over a short period of time. Temporal templates are conformed with the successive images differences. The trajectories are computed using the centers of the blobs in the temporal template. A Kalman filter for a constant value with emphasis in the measurement uncertainty is used to smooth the result. The algorithm is tested extensively using a sequence took from tower overlooking a vehicular intersection. Our approach allow us to detect the vehicles trajectories without the need to construct a background model or using a sophisticated tracking strategy for the moving objects. Our experiments show that the scheme we propose is reliable, and fast.
AB - In this study, we deal with the problem of detecting the trajectories of moving vehicles. We introduce a method, based on the spatio-temporal connectivity analysis, to extract the vehicles trajectories from temporal templates, spanned over a short period of time. Temporal templates are conformed with the successive images differences. The trajectories are computed using the centers of the blobs in the temporal template. A Kalman filter for a constant value with emphasis in the measurement uncertainty is used to smooth the result. The algorithm is tested extensively using a sequence took from tower overlooking a vehicular intersection. Our approach allow us to detect the vehicles trajectories without the need to construct a background model or using a sophisticated tracking strategy for the moving objects. Our experiments show that the scheme we propose is reliable, and fast.
KW - Temporal Templates
KW - Tracking Flow
KW - Traffic Surveillance
KW - Vehicles Trajectories
UR - http://www.scopus.com/inward/record.url?scp=70549098347&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-04697-1_45
DO - 10.1007/978-3-642-04697-1_45
M3 - Contribución a la conferencia
SN - 3642046967
SN - 9783642046964
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 485
EP - 493
BT - Advanced Concepts for Intelligent Vision Systems - 11th International Conference, ACIVS 2009, Proceedings
T2 - 11th International Conference on Advanced Concepts for Intelligent Vision Systems, ACIVS 2009
Y2 - 28 September 2009 through 2 October 2009
ER -