Crossing Pedestrians Detection Adapted to Traffic Flow Direction
Tan Zhi-biao · 2011
For video traffic events detection,a novel algorithm to detect crossing pedestrians is researched,which can be adaptive to the direction of traffic flows.It calculates the motion directions of objects in the video by Motion History Image(MHI) motion history images.A referenced motion direction field is obtained at learning step.When an object is tracked,its trajectory will be analyzed on line.Its motion direction is compared with the direction defined by the referenced motion direction field,which results in whether it is a crossing pedestrian.Experimental results show that this algorithm has the ability to adapt the traffic flow direction,and that it can run at real time with great accuracy.