Temporal Analysis of Stereo Image Sequences of Traffic Scenes 912754

This paper deals with the temporal analysis of stereo image sequences taken from a road vehicle in a busy traffic environment. The images are first processed to extract contours of significant intensity change. Points lying on these contours are used as primitives for stereo matching and optic flow computation, which yield the 3-D trajectories of the salient points in the scene. These point trajectories are processed by a Kalman filter to determine the relative motion of the points with respect to the vehicle. The 3-D output of the stereo algorithm is grouped by a segmentation algorithm into different objects. A statistical analysis of the motion parameters is performed for each object. Experimental results with a real stereo sequence are presented.


Subscribers can view annotate, and download all of SAE's content. Learn More »


Members save up to 40% off list price.
Login to see discount.
Special Offer: With TechSelect, you decide what SAE Technical Papers you need, when you need them, and how much you want to pay.