• Vashista Bhati

With the invention of the low-cost Microsoft Kinect sensor, high-resolution depth and visual (RGB) sensing has become available for widespread use. The complementary nature of the depth and visual information provided by the Kinect sensor opens up new opportunities to solve fundamental problems in computer vision. Estimating the pose of a human in 3D given an image or a video has recently received significant attention from the scientific community. The main reasons for this trend are the ever increasing new range of applications (e.g., human-robot interaction, gaming, sports performance analysis) which are driven by current technological advances. Although recent approaches have dealt with several challenges and have reported remarkable results, 3D pose estimation remains a largely unsolved problem because real-life applications impose several challenges which are not fully addressed by existing methods. For example, estimating the 3D pose of multiple people in an outdoor environment remains a largely unsolved problem. In this paper, we review the Study on Human Pose Estimation Using Microsoft Kinect Sensor.

Digital Image Processing, Human Pose Estimation, Microsoft Kinect Sensor

"A Review Study on Human Pose Estimation Using Kinect Sensor", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.4, Issue 11, page no.677-683, November-2017, Available :http://www.jetir.org/papers/JETIR1711115.pdf

"A Review Study on Human Pose Estimation Using Kinect Sensor", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.4, Issue 11, page no. pp677-683, November-2017, Available at : http://www.jetir.org/papers/JETIR1711115.pdf