RT Journal Article
T1 FPGA-Based Multimodal Embedded Sensor System Integrating Low- and Mid-Level Vision
A1 Botella Juan, Guillermo
A1 Martín Hernández, José Antonio
A1 Santos Peñas, Matilde
A1 Meyer-Baese, Uwe
AB Motion estimation is a low-level vision task that is especially relevant due to its wide range of applications in the real world. Many of the best motion estimation algorithms include some of the features that are found in mammalians, which would demand huge computational resources and therefore are not usually available in real-time. In this paper we present a novel bioinspired sensor based on the synergy between optical flow and orthogonal variant moments. The bioinspired sensor has been designed for Very Large Scale Integration (VLSI) using properties of the mammalian cortical motion pathway. This sensor combines low-level primitives (optical flow and image moments) in order to produce a mid-level vision abstraction layer. The results are described trough experiments showing the validity of the proposed system and an analysis of the computational resources and performance of the applied algorithms.
PB MDPI
SN 1424-8220
YR 2011
FD 2011-08-22
LK https://hdl.handle.net/20.500.14352/43324
UL https://hdl.handle.net/20.500.14352/43324
LA eng
NO Ministerio de Ciencia e Innovación (MICINN)
DS Docta Complutense
RD 11 abr 2025