Efficient Tracking of Image Sequence Inspection and Moving Object Recognition

Abstract

We address the problem of detection and tracking of moving objects in a video stream obtained from a moving airborne platform. The proposed method relies on a graph representation of moving objects which allows to derive and maintain a dynamic template of each moving object by enforcing their temporal coherence. This inferred template along with the graph representation used in our approach allows us to characterize object trajectories as an optimal path in a graph. The proposed tracker allows to deal with partial occlusions, stop and go motion in very challengingsituations. We demonstrate results on a number of different real sequences. We then define an evaluation methodology to quantify our results and show how tracking overcome detection error.