SEGMENTATION OF MOVING VEHICLES BASED ON MAP
JW Lee · 1997
To segment vehicles in front of a moving vehicle in a road traffic scene, the paper proposes a segmentation algorithm. Since a noisy image produces unreliable features and degrades the detection and localization, selecting image primitives which are less sensitive to noise and represent the evidence for a vehicle is important. This is carried out by the probabilistic integration of image features based on maximum a posteriori (MAP) probability that combines the prior and likelihood probabilities using Bayes' rule. For the covering abstract, see IRRD 490001.