TY - GEN
T1 - Detecting unusual activities at vehicular intersections
AU - Salas, Joaquín
AU - Jiménez, Hugo
AU - González, Joel
AU - Hurtado, Juan
PY - 2007
Y1 - 2007
N2 - In this work a proposal to model the activity at vehicular intersections with the aim of detecting unusual events is presented. Using the particular constraints that this kind of scenarios provide, we develop methods to detect, track, and model the activity of moving objects. Our description of activity is based on the local definition, at each pixel, of a multimodal model for the direction of motion. During operation, a particular observation is compared with the learned model. Our experiments give clear indication that the proposed scheme has a good performance in detecting such unusual events as vehicles running on red light and making forbidden turns.
AB - In this work a proposal to model the activity at vehicular intersections with the aim of detecting unusual events is presented. Using the particular constraints that this kind of scenarios provide, we develop methods to detect, track, and model the activity of moving objects. Our description of activity is based on the local definition, at each pixel, of a multimodal model for the direction of motion. During operation, a particular observation is compared with the learned model. Our experiments give clear indication that the proposed scheme has a good performance in detecting such unusual events as vehicles running on red light and making forbidden turns.
UR - http://www.scopus.com/inward/record.url?scp=36349006418&partnerID=8YFLogxK
U2 - 10.1109/ROBOT.2007.363094
DO - 10.1109/ROBOT.2007.363094
M3 - Contribución a la conferencia
AN - SCOPUS:36349006418
SN - 1424406021
SN - 9781424406029
T3 - Proceedings - IEEE International Conference on Robotics and Automation
SP - 864
EP - 869
BT - 2007 IEEE International Conference on Robotics and Automation, ICRA'07
T2 - 2007 IEEE International Conference on Robotics and Automation, ICRA'07
Y2 - 10 April 2007 through 14 April 2007
ER -