DocumentCode :
1815767
Title :
Bio-inspired looming direction detection method
Author :
Fülöp, Tamás ; Zarándy, Ákos
Author_Institution :
Fac. of Inf. Technol., Pazmany Peter Catholic Univ., Budapest, Hungary
fYear :
2012
fDate :
29-31 Aug. 2012
Firstpage :
1
Lastpage :
6
Abstract :
The retina inspired approaching object detection algorithm - based on the recently identified Pvlab-5 ganglion cell - is a computationally easy segmentation free method. The original method can detect only the dark looming objects against bright background. This paper shows a modified algorithm, which can detect any looming and recessing objects against dark or bright background. Moreover, we show a post processing evaluation method, which can measure the lateral motion direction using the spatial-temporal activities of the ganglion cells without introducing any hard calculation.
Keywords :
computer vision; eye; image motion analysis; object detection; Pvlab-5 ganglion cell; bio-inspired looming direction detection method; bright background; computationally easy segmentation free method; dark background; dark looming object; lateral motion direction; post processing evaluation method; recessing object detection; retina inspired approaching object detection algorithm; spatial-temporal activity; Cameras; Computational modeling; Context; Mathematical model; Object detection; Retina; Vectors; bio-inspired algorithm; direction of lateral movements; image processing; looming detection; retina;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cellular Nanoscale Networks and Their Applications (CNNA), 2012 13th International Workshop on
Conference_Location :
Turin
ISSN :
2165-0160
Print_ISBN :
978-1-4673-0287-6
Type :
conf
DOI :
10.1109/CNNA.2012.6331448
Filename :
6331448
Link To Document :
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