A Review on Techniques and Applications of Object Tracking and Gesture Recognition

Detecting different items in a picture with the aid of computers using any of the numerous detection techniques is referred to as object detection in computer vision. A thorough examination of several research papers on object identification, object tracking (its extension), and gesture recognition (an application) reveals the varied methodologies and algorithms employed in these tasks. The practice finds applications in several areas like the military, medical science, surveillance, autonomous vehicle science etc. We are at a point where we can comfortably compute these things locally on a smartphone. So far the literature in these areas is promising. Only hurdle is training the programs to perform as intended may need more power than the machine that runs the end product. A look at various works in the field gives a view of how the technology in the sector has progressed and what can be done with it. Various contemporary techniques are available which can be used with relative ease and can be tweaked without much hassle, for example - SSD, RCNN, YOLO.