Publications

Joint direct estimation of 3D geometry and 3D motion using spatio temporal gradients
Conventional image-motion based methods for structure from motion first compute optical flow, then solve for the 3D motion parameters …
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Reconfigurable cyber-physical system for critical infrastructure protection in smart cities via smart video-surveillance
Automated surveillance is essential for the protection of Critical Infrastructures (CIs) in future Smart Cities. The dynamic …
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Reconfigurable Cyber-Physical System for Lifestyle Video-Monitoring via Deep Learning
Indoor monitoring of people at their homes has become a popular application in Smart Health. With the advances in Machine Learning and …
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Prediction of Manipulation Actions
By looking at a person’s hands, one can often tell what the person is going to do next, how his/her hands are moving and where they …
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Real-time clustering and multi-target tracking using event-based sensors
Clustering is crucial for many computer vision applications such as robust tracking, object detection and segmentation. This work …
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A Dataset for Visual Navigation with Neuromorphic Methods
Standardized benchmarks in Computer Vision have greatly contributed to the advance of approaches to many problems in the field. If we …
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Hierarchical architecture for motion and depth estimations based on color cues
This work presents an FPGA implementation of a highly parallel architecture for the motion and disparity estimations of color images. …
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Contour Detection and Characterization for Asynchronous Event Sensors
The bio-inspired, asynchronous event-based dynamic vision sensor records temporal changes in the luminance of the scene at high …
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Real-time visual saliency architecture for FPGA with top-down attention modulation
Biological vision uses attention to reduce the visual bandwidth simplifying the higher-level processing. This paper presents a model …
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On-chip semidense representation map for dense visual features driven by attention processes
We describe an intelligent scheme to condense dense vision features, efficiently reducing the size of representation maps and keeping …
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Contour motion estimation for asynchronous event-driven cameras
This paper compares image motion estimation with asynchronous event-based cameras to Computer Vision approaches using as input …
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Contour motion estimation for address-event data
Current motion estimation methods use very sophisticated techniques that require high computational complexity, with low time …
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Bottom-up visual attention model based on FPGA
We present a model and a hardware architecture for the computation of bottom-up inherent visual attention for FPGA. The bottom-up …
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Bio-inspired Motion Estimation with Event-Driven Sensors
This paper presents a method for image motion estimation for event-based sensors. Accurate and fast image flow estimation still …
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Vector disparity sensor with vergence control for active vision systems
This paper presents an architecture for computing vector disparity for active vision systems as used on robotics applications. The …
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Real-time architecture for a robust multi-scale stereo engine on FPGA
In this work, we present a real-time implementation of a stereo algorithm on field-programmable gate array (FPGA). The approach is a …
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Pipelined architecture for real-time cost-optimized extraction of visual primitives based on FPGAs
This paper presents an architecture for the extraction of visual primitives on chip, energy, orientation, disparity, and optical flow. …
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Parallel architecture for hierarchical optical flow estimation based on FPGA
In this work, we present a real-time implementation of a stereo algorithm on field-programmable gate array (FPGA). The approach is a …
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Massive parallel-hardware architecture for multiscale stereo, optical flow and image-structure computation
Low-level vision tasks pose an outstanding challenge in terms of computational effort, pixel-wise operations require high-performance …
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A multi-resolution approach for massively-parallel hardware-friendly optical flow estimation
This paper presents a novel hardware-friendly motion estimation for real-time applications such as robotics or autonomous navigation. …
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