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.

Depth is a rich source of information and has been successfully utilized in numerous computer vision applications. However, it is often ignored in object tracking. In this paper, in contrast to traditional 2D image-based tracking method, we propose a novel 3D object tracking method from a moving binocular camera. To effectively handle the deformable targets, a target is first represented by a local patch-based appearance model. Then, to handle the partial occlusions, we design a simple yet effective scheme to detect and recovery occlusions using depth information obtained from a moving binocular camera. Therefore, the proposed method can simultaneous capture target appearance changes and alleviate the drifting problem. The experimental results demonstrate the effectiveness of the proposed method.