Implementation of Multi Target Tracking Algorithm on Beagle Board-Xm
Journal Title: PARIPEX-Indian Journal of Research - Year 2015, Vol 4, Issue 7
Abstract
Video tracking in real time is one of the most important topics in the field of surveillance based systems. Detection and tracking of moving objects in the video scenes is the first step in the process of information extraction . Processing a video stream to segment foreground objects from the background is a critical step in many computer vision applications. Background subtraction is a familiarly used method for achieving this segmentation. Gaussian Mixture-based Background Segmentation Algorithm and morphological operations are used for object detection and tracking. The main processing unit used in this paper for implementation process is Beagle Board-XM with Linux (Ubuntu) operating system installed with Open CV. The indexing of identified objects and automatic labeling enables the developed system suitable for surveillance applications.
Authors and Affiliations
V. Kamatchi Sundari, M. Manikandan
Keywords
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