Abstract: Human tracking is an important research area in computer vision with potential applications in many other fields like augment reality, human–machine interaction, and advanced driver assistance systems. Despite a lot of progress in the field, visual tracking remains a difficult problem due to many challenges. In this paper we describe a method of automatic motion tracking of a person in a sequence of video frames. The method is suitable for tracking a person walking or running in a surveillance video captured from a single still camera. The method initially removes the noise from the captured image then segments the image using frame difference and binary converting techniques and finally tracks the person using a bounding box.

Keywords: Human Tracking, Bounding Box, Computer Vision, Camera, Visual Tracking.