Title :
Gestalt principle based multipart object and object group detection on FPGA
Author :
Karacs, Kristof ; RadvaÌnyi, M. ; Nagy, Zsolt
Author_Institution :
Fac. of Inf. Technol. & Bionics, Pazmany Peter Catholic Univ., Budapest, Hungary
Abstract :
Finding useful information in real world scenes is very important for many scene understanding tasks. Signs, scripts, information panels, and logos typically stand out from their environment for a human observer, but locating them seems to be inherently dependent on the context. We present a connected component labeling and a grouping algorithm fitted for FPGAs to locate potentially interesting areas and examine whether their content is worth further analysis. Experimental results are shown for real word images.
Keywords :
field programmable gate arrays; object detection; FPGA; Gestalt principle based multipart object detection; Gestalt principle based object group detection; connected component labeling; grouping algorithm; potentially interesting area location; real word images; real word scenes; Algorithm design and analysis; Europe; Field programmable gate arrays; Image color analysis; Labeling; Licenses; Observers; FPGA; connected component labeling; object detection; saliency;
Conference_Titel :
Cellular Nanoscale Networks and their Applications (CNNA), 2014 14th International Workshop on
Conference_Location :
Notre Dame, IN
DOI :
10.1109/CNNA.2014.6888645