Object Detection and Colour Based Tracking
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2017, Vol 5, Issue 5
Abstract
Object detection and tracking has been widely used in diverse discipline such as intelligent transportation systems, airport security systems, video monitoring systems, and so on. Feature matching uses feature framework for detecting frame similarities in a video input. In our proposed algorithm, we intend to take video input from a camera, select the appropriate portion of the current video frame as our area of interest and treat that portion as the object. Similar objects in multiple frames are found out by comparing points/features of the selected area of interest and the features in the next frame. Similarities between point/features will help us to determine the position of our object. Object tracking is done using controller based mobile robot. Area as well as centroid of object is calculated. Area of object is calculated which helps object to move forward and backward. Centroid calculation helps robot in left and right movement. Simulation results indicate that the proposed method consistently performs well under different illumination conditions including indoor, outdoor, sunny, and foggy cases.
Authors and Affiliations
Shrilesh Vijay Kale, Boby Robert, Rucha Kishor Shinkar
Keywords
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