Development Of Object Tracking Architecture Based On Colour Recognition Method For Autonomous Motion Detection System

Awang, Syuhada (2016) Development Of Object Tracking Architecture Based On Colour Recognition Method For Autonomous Motion Detection System. Project Report. UTeM, Melaka, Malaysia. (Submitted)

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Abstract

Object tracking has many applications in today’s diverse range of embedded systems. Object detection and localization are important for many other practical applications such as manufacturing automation, navigation, part inspection, and computer aided design, (CAD) or computer aided manufacturing, (CAM). However, the object detection and motion tracking are the most important and challenging fundamental task of computer vision. It is a critical part in many applications such as image search or scene understanding due to the variety and complexity of object classes and backgrounds. The easiest way to detect and track an object in motion from image captured is the color based method. The object and the background should have a significant color difference in order to successfully detect and track the objects based on color recognition. The main objective of the development of object tracking architecture based on color recognition method for autonomous motion detection system is focusing on how to successfully track a moving object based on color recognition. Briefly, the computer vision algorithm uses the Open CV library, which is embedded into a system for manipulating the captured image of the object. The image of the object is captured by a camera. The captured image is then subjected to color conversion and is transformed to a binary image for further processing after it is being filtered. The desired object is clearly determined after removing pixel noise by applying an image processing. Finally, the area and the center of the object are determined so that object’s motion can be tracked. The details concerning the implementation of this method will be discussed. The experimental evaluation is conducted to evaluate the effectiveness of the proposed method and it shows reliable color detection and smooth tracking characteristics.

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