Robust contour tracking via constrained separate tracking of location and shape

In traditional contour tracker, object’s location and shape are usually bound together to form the system state. Such approaches suffer from the problem that most sampled states cannot match the object’s boundary exactly when the boundary cannot be captured by the shape model. To overcome such drawbacks, Constrained Separate Tracking of Location and Shape (CSTLS) is proposed. In CSTLS, location and shape are tracked by separate tracker, L-Tracker and S-Tracker, with the constraints enforced by the global contour tracking. The likelihood measurement for each sample in L-Tracker/S-Tracker is calculated by taking multiple shape/location hypotheses into consideration, which help to improve the robustness of tracking. The relationships of L-Tracker and S-Tracker with original problem are established under Sequential Mean Field Monte Carlo method. Experiments demonstrate the effectiveness of the CSTLS.