Robust depth-based object tracking from a moving binocular camera
A Robust Depth-based Object Tracking Algorithm from a Moving Binocular Camera. The key idea is firstly to utilize a local patch-based appearance model to represent the target. Since the target is represented by a l local patch-based appearance model, the proposed tracking method can effectively handle the deformable targets. Then, to handle the partial occlusions, we use a simple yet effective scheme to detect and recovery occlusions using depth information obtained from a moving binocular camera, which is more robust than existing 2D image-based tracking methods. Experimental results on challenging video sequences demonstrate the robustness of the proposed 3D tracking method by comparing it with several state-of-the-art tracking methods.
local patch-based appearance model depth information 3d object tracking