Moving targets detection using sequential importance sampling

We present a new technique for detecting moving targets from image sequences captured by moving sensors. Feature points are detected and tracked through the image sequences. A validity vector is used to describe the consistency of the feature trajectories with sensor motion. By using the sequential importance sampling method, an approximation to the posterior distribution of the sensor motion and the validity vector is derived and the feature points belonging to the moving target are then segmented out. Real image examples are included