Camera Tracking Human Movement Using Image Processing

Omer Basleem , Omer Mohamed (2016) Camera Tracking Human Movement Using Image Processing. Project Report. UTeM, Melaka, Malaysia. (Submitted)

Text (24 Pages) Camera Tracking Human Movement Using Image Processing.pdf - Submitted Version Download (427kB)

Abstract

Nowadays, personal assistive robot is an active area of research in order to make robots see the person and make adjustment based on the human behaviour. However, some problems facing in this project such as the direction of the target object and the changing of the image size that occur. The target position, the mutlti-person tracking and the changing of the background can affect the result of a vision tracking system. In this project, the objectives are developing a vision system to track the movement of the human body, analyse the performance of the human tracking camera and build a graphical user interface (GUI) for the programme. For the hardware component in the methodology, there are some important component chosen for the tracking human system such as 5 Megapixel webcam, Arduino Uno as a microcontroller, and a servo motor. The method of tracking the human body consist of two stages, a detecting process and tracking process. Detecting the upper body of the human by extracted it features and tracking the feature point on the detected body. Based on the deviation angle between the centre of the camera and the centre of the detected body, the servo will rotate to track the human body. The experiments are to test the accuracy of the camera during tracking. When the body having different distance from the camera and with different angels which are 45° and 135° from while the target facing the camera at 90°. As the result, the accuracy of the camera tested at 1.5 meters and 2 meters, the camera during tracking got an accuracy reach to 93.6%

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