Title :
A visual object counter based on a multimodal data association for embedded systems with limited computational power
Author :
Del-Blanco, Carlos R. ; Jaureguizar, Fernando ; García, Narciso
Author_Institution :
Grupo de Tratamiento de Imagenes, Univ. Politec. de Madrid, Madrid, Spain
Abstract :
A low complex but highly-efficient object counter algorithm is presented that can be embedded in hardware with a low computational power. This is achieved by a novel soft-data association strategy that can handle multimodal distributions.
Keywords :
Bayes methods; embedded systems; object tracking; sensor fusion; Bayesian counter; computational power; embedded systems; multimodal data association; multimodal distributions; object counter algorithm; object tracking; soft-data association strategy; visual object counter; Accuracy; Bayesian methods; Cameras; Consumer electronics; Estimation; Radiation detectors; Real time systems;
Conference_Titel :
Consumer Electronics (ICCE), 2012 IEEE International Conference on
Conference_Location :
Las Vegas, NV
Print_ISBN :
978-1-4577-0230-3
DOI :
10.1109/ICCE.2012.6161961
