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Object Detection and Tracking using Background Subtraction and Connected Component Labeling
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 75 - Number 13 |
| Year of Publication: 2013 |
| Authors: Asad Abdul Malik, Amaad Khalil, Hameed Ullah Khan |
10.5120/13168-0421
|
Asad Abdul Malik, Amaad Khalil, Hameed Ullah Khan . Object Detection and Tracking using Background Subtraction and Connected Component Labeling. International Journal of Computer Applications. 75, 13 ( August 2013), 1-5. DOI=10.5120/13168-0421
Abstract
Digital image processing is one of the most researched fields nowadays. The ever increasing need of surveillance systems has further on made this field the point of emphasis. Surveillance systems are used for security reasons, intelligence gathering and many individual needs. Object tracking and detection is one of the main steps in these systems. Different techniques are used for this task and research is vastly done to make this system automated and to make it reliable. In this research subjective quality assessment of object detection and object tracking is discussed in detail. In the proposed system the background subtraction is done from the clean original image by using distortion of color and brightness. The subtracted image is then tracked using connected component labeling. The proposed system eliminates the shadow and provides 79% accuracy.
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