based on gaze tracking and object detection. In particular, the proposed attention analysis model does not depend on any … predict the gazing objects by combining the results of gazing point estimation and object detection. Finally, the personalized …, this paper focuses on analyzing students' attention by gaze tracking and object detection in classroom teaching, which is …

Computer Vision and Machine Learning for object detection and gripping. The proposed concept transforms manual picking to … necessary to enable learning from humans to improve the performance of robots' object detection and gripping. Findings: The … object detection or gripping which enables robots in service to extend their ability to recognize and pick objects. …

detection, monocular depth estimation and keypoint estimation. In the first stage, an object detection network is improved to … from the object detection and depth map estimation. Finally, a grasping strategy is studied to achieve successful and … monocular vision and small data set of scattered parts is proposed. This method can be divided into three steps: object …