Beginning a transition from a local to a more global point of view in model-based vehicle tracking
This contribution attempts to move beyond the status where single moving objects in video image sequences are tracked separately in the scene domain, based on individually adapted approaches and parameters. Instead, we investigate which performance can be achieved by a combination of approaches based on edge element orientation and on optical flow, applied to a variety of image sequences and vehicles. Five different image sequences of traffic scenes recorded under different conditions have been evaluated. Quantitative statements are provided about the success rates of the approach after evaluating over 5.500 full video-frames, i.e. more then 3.5 minutes of real-world video, using one single approach and a single parameter set. Remaining tracking failures are analyzed and classified.