Implementation of an Automated Single Camera Objec
2016-08-23
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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 an 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-t
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 an 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-t
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