Abstract
In the present work the concepts of dynamic template matching and frame differencing have been used to implement a robust automated single object tracking system. In this implementation a monochrome industrial camera has been used to grab the video frames and track a moving object. Using frame differencing on frame-by-frame basis, a moving object, if any, is detected with high accuracy and efficiency. Once the object has been detected it is tracked by employing an efficient Template Matching algorithm. The templates used for the matching purposes are generated dynamically. This ensures that any change in the pose of the object does not hinder the tracking procedure. To automate the tracking process the camera is mounted on a pan-tilt arrangement, which is synchronized with a tracking algorithm. As and when the object being tracked moves out of the viewing range of the camera, the pan-tilt setup is automatically adjusted to move the camera so as to keep the object in view. Here the camera motion is limited by the speed of the stepper motors which mobilize the pan-tilt setup. The system is capable of handling entry and exit of an object. Such a tracking system is cost effective and can be used as an automated video conferencing system and also has application as a surveillance tool.
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Gupta, K., Kulkarni, A.V. (2008). Implementation of an Automated Single Camera Object Tracking System Using Frame Differencing and Dynamic Template Matching. In: Sobh, T. (eds) Advances in Computer and Information Sciences and Engineering. Springer, Dordrecht. https://doi.org/10.1007/978-1-4020-8741-7_44
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DOI: https://doi.org/10.1007/978-1-4020-8741-7_44
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