Traffic Prediction from Video (Computer Vision)
Winter
2006: The group project in Computer Vision was given a three
second video clip of a highway, predict which areas on the screen would
contain cars three seconds later. Our solution used a Haar classifier
with post processing to detect the cars in still images. Then, the
detected cars in successive frames were matched with their counterparts
throughout the clip. A Kalman filter was implemented to track and
predict the position of the cars in the future.