Human Object Detection and Tracking using Background Subtraction for Sports Applications

Abstract: At the moment, identification of blood disorders is through visual inspection of microscopic images of blood cells. From the identification of blood disorders, it can lead to classification of certain diseases related to blood. This paper describes a preliminary study of developing a detection and measurement of white blood cells (WBCs) and red blood cell (RBCs) using microscopic blood sample images. Analyzing through images is very important as from images, diseases can be detected and diagnosed at earlier stage. From there, further actions like controlling, monitoring and prevention of diseases can be done. Blood cell counting by laboratory task utilizes hemocytometer and microscope. The conventional task depends on physician skill. Images are used as they are cheap and do not require expensive testing and lab equipments. This paper will focus on white blood cells and red blood cell.

Keywords: White Blood Cells, Red Blood Cells, Microscopic Images, Reinforcement Learning.