despite recent advances in video inpainting techniques, reconstructing large missing regions of a moving subject while its scale changes remains an elusive goal. in this paper, we have introduced a scale-change invariant method for large missing regions to tackle this problem. using this framework, first the moving foreground is separated from the background and its scale is equalized. then, a ...

A novel approach for estimating articulated body posture and motion from monocular video sequences is proposed. Human pose is defined as the instantaneous two dimensional configuration (i.e.,the projection onto the image plane) of a single articulated body in terms of the position of a predetermined set of joints. First, statistical segmentation of the human bodies from the background is perfor...

Vision-based automatic human body pose estimation has many potential applications and it is also a challenging task. Together, these two factors have made vision-based human body pose estimation an attractive research area with closely related research areas including body pose, hand pose, and head pose estimation. Up to now, these research works however only deal with each task of estimating b...

Background/Purpose: One of the most significant areas in marketing is consumer position analysis. Retailers can assess extent client interest goods based on customer pose data. Due to occlusion and left-right similarity difficulties, estimation problematic. We describe a CNN-based solution that includes body orientation visibility mask overcome these two challenges. It provides global informati...

In recent years, the task of human pose estimation has become increasingly important, due to large scale usage, including VR applications, as well higher-level tasks, such behavior understanding. this paper, we introduce a novel two-stage deep learning approach named Segmentation-Guided Pose Estimation (SGPE). The pipeline is based on two neural networks working in sequential fashion, while bot...