Translator Disclaimer
26 April 2011 Moving object tracking by using a novel real-time 2D local-polar-edge-detection method
Author Affiliations +
The LPED (local polar edge detection) method is a newly developed 2D image processing method that automatically utilizes the center-of-mass polar coordinate to represent, in a unique way by a 36-dimension analog vector, the boundary of each object embedded in a picture frame. This 36D vector is the object ID for the particular object it represents. This ID vector is independent of the position of the object and independent of the orientation of the object, but it is a characteristic property from object to object. The background noises are automatically filtered out if the background objects are much smaller and much more randomly distributed than the objects of interest. This concise ID vector will not only identify the object precisely in a large picture frame where multiple-shaped objects lie, it will also track the object automatically when the object moves and it will record the data of movement periodically. I.e., it can measure automatically the distance of movement, the angular change of object-orientation, and the new locations of the central of mass of the moving object between successive sampling time intervals. In other words, it can automatically predict the near future movement of the tracked object. The applications of this novel image processing technique, to name a few, may be (1) automatic satellite-tracking and targeting of ground moving vehicles, (2) robotic identification of surrounding environment by some shape selected scenic part in the environment (e.g., the cross-section of an underground tunnel) with self guidance for the robot to go along a desired path through the whole tunnel without hitting the tunnel wall. This paper describes the principle of LPED and some extensive experimental results, regarding the application (1) described above, by utilizing a real-time soft-ware program designed by the author.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Chialun John Hu "Moving object tracking by using a novel real-time 2D local-polar-edge-detection method", Proc. SPIE 8055, Optical Pattern Recognition XXII, 80550F (26 April 2011);

Back to Top