Title :
Tracking Multiple Circular Objects in Video Using Helmholtz Principle
Author :
Mukherjee, Snehasis ; Mukherjee, Dipti Prasad
Author_Institution :
Electron. & Commun. Sci. Unit, Indian Stat. Inst., Kolkata
Abstract :
A novel algorithm is introduced to track multiple circular objects present in 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.
Keywords :
image segmentation; video signal processing; Helmholtz principle; segmentation; tracking multiple circular objects; video; Computer vision; Event detection; Gravity; Image edge detection; Image segmentation; Linearity; Object detection; Pattern recognition; Shape; Videoconference;
Conference_Titel :
Advances in Pattern Recognition, 2009. ICAPR '09. Seventh International Conference on
Conference_Location :
Kolkata
Print_ISBN :
978-1-4244-3335-3
DOI :
10.1109/ICAPR.2009.22