In this paper, we propose a visual tracking control method of a hand-eye robot for a moving target object with multiple feature points. The hand-eye robot is composed of a three degrees-offreedom planar manipulator and a single CCD camera that is mounted on the manipulator’s endeffector. The control objective is to keep all feature points of the target object around their desired coordinates on...

Most popular graph attention networks treat pixels of a feature map as individual nodes, which makes the embedding extracted by convolution lack integrity object. Moreover, matching between template and search using only part-level information usually causes tracking errors, especially in occlusion similarity situations. To address these problems, we propose novel end-to-end framework that has ...

Photoacoustic (PA) imaging is a relatively new noninvasive medical imaging modality. It is a technique which is harmless for the human body and uses pulsed optical energy. The process is based on the absorption of the pulse of optical energy by an object leading to local temperature increases. This temperature distribution leads to the generation of pressure waves, which in term can be measured...

Real-time hand tracking is a challenging task in many computer vision applications such as gesture recognition. This paper proposes a robust method for hand tracking in a complex environment using Mean-shift analysis and Kalman filter in conjunction with 3D depth map. The depth information solve the overlapping problem between hands and face, which is obtained by passive stereo measuring based ...

Target tracking is one of the most important applications of wireless sensor networks (WSNs), especially for the urgent event of interest. In this paper we propose a new clustering algorithm beside our accurate prediction mechanism which was proposed previously, that detects and tracks a moving target, and alerts head nodes along the predicted path of the target. The main advantages of proposed...