An Approach to Crowd Segmentation at Macroscopic Level (CROSBI ID 694208)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Mihalić, Darko ; Marčetić, Darijan ; Ribarić, Slobodan
engleski
An Approach to Crowd Segmentation at Macroscopic Level
In this paper, an approach to crowd segmentation at macroscopic level is proposed. The method is based on salient points within the region of dense optical flow that are tracked through N frames. Salient points were tracked by using the pyramidal Lukas-Kanade tracker. Around each salient point, an area is formed by using combination of a dense optical flow, a morphological operation dilation and Voronoi diagram. To each subarea, i.e. Voronoi cell of an optical flow (VcOF), the direction and magnitude of displacement is assigned based on the tracklet of the salient point. The VcOFs are grouped based on their directions and distances by hierarchical clustering. The method considers the temporal and spatial dynamics of the crowd motion. It has been tested on the video clips of real-world video sequences and has produced the results that are close to human perception and segmentation of a crowd.
Crowd Segmentation, Optical Flow, Voronoi Diagram, Tracklet
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Podaci o prilogu
105-108.
2020.
objavljeno
Podaci o matičnoj publikaciji
PROCEEDINGS OF ELMAR - 2020, 14 - 15 September 2020, Zadar, Croatia
Muštra, Mario ; Vuković, Josip ; Zovko - Cihlar, Branka
Zagreb: Fakultet elektrotehnike i računarstva Sveučilišta u Zagrebu
978-1-7281-5972-0
Podaci o skupu
62nd International Symposium ELMAR-2020
predavanje
14.09.2020-15.09.2020
Zadar, Hrvatska