Vijaykumar Shejal

• Hand-Eye Calibration: Exploring suitable ROS for Universal Robot 5 (UR5) and performing Hand-Eye calibration for 3D and 2D camera • Motion Composer System: Human detection and localization, Segmentation, ges- ture recognition from depth and color images. • Fast Human Segmentation: Implementation of Superpixel SLIC algorithm by using CUDA with Thrust library and performed semantic segmentation to detect human body parts

• Task: Extraction of the human 3D skeleton from RGB and depth images by using superpixels and machine learning techniques.. • Algorithm is developed by using C++ with OpenCV library. • Superpixel SLIC algorithm and labeling tool are created. • Studied deep learning techniques, Mask RCNN, SVM and Clustering methods. • Creating the dataset and training the SVM classifier. • Finding the human joints from the output of SVM classifier.

Topic : Human Joint Estimation from Depth Data. -Gained knowledge of Computer Vision and image Processing -Algorithm is developed by using C++ with OpenCV Library. -Performed different activities such as camera calibration, segmentation, depth data creation from RGB images.

• Implementation of scripts for automation testing using tool QTP. • System and Integration testing using tool QC. • Analyzation of results from the mainframe.

Image processing, Pattern recognition, Digital System, Computer vision, Digital Signal Processing, Machine Learning, Deep Learning

Data Structure, Image Processing, Control System, VHDL