Tracking Multiple Circular Objects in Video Using Helmholtz Principle

A novel algorithm is introduced to track multiple circular objects present in a video using Helmholtz perception principle. First, segmentation of circular objects in the video frame is performed using the perception principle and then same perception principle is applied to track the circular objects. For each circular object present in video, we have taken an assessment of the meaningfulness of the shift of its center of gravity and meaningfulness of the deviation of the direction of movement of the object due to inter-frame displacement. We have shown that a logical threshold in the meaningfulness value tracks circular objects in a video effectively and efficiently.

[1]  Scott T. Acton,et al.  Scale space classification using area morphology , 2000, IEEE Trans. Image Process..

[2]  Rangachar Kasturi,et al.  Machine vision , 1995 .

[3]  Snehasis Mukherjee,et al.  Segmentation of Circular and Rectangular Shapes in an Image Using Helmholtz Principle , 2008, 2008 Sixth Indian Conference on Computer Vision, Graphics & Image Processing.

[4]  Frédéric Cao,et al.  Good continuations in digital image level lines , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.

[5]  Jean-Michel Morel,et al.  From Gestalt Theory to Image Analysis: A Probabilistic Approach , 2007 .

[6]  Pascal Monasse,et al.  Fast computation of a contrast-invariant image representation , 2000, IEEE Trans. Image Process..