A low-power end-to-end hybrid neuromorphic framework for surveillance applications

Authors: Ussa, Andres, Della Vedova, Luca, Padala, Vandana Reddy, Singla, Deepak, Acharya, Jyotibdha, Lei, Charles Zhang, Orchard, Garrick, Basu, Arindam, Ramesh, Bharath

Subject Terms: Computer Science - Computer Vision and Pattern Recognition

Access URL: http://arxiv.org/abs/1910.09806

PCA-RECT: An Energy-efficient Object Detection Approach for Event Cameras

Authors: Ramesh, Bharath, Ussa, Andres, Della Vedova, Luca, Yang, Hong, Orchard, Garrick

Subject Terms: Computer Science - Computer Vision and Pattern Recognition, Computer Science - Robotics

Access URL: http://arxiv.org/abs/1904.12665

ESPEE: Event-Based Sensor Pose Estimation Using an Extended Kalman Filter.

Authors: Colonnier, Fabien^1,2 (AUTHOR) fabien_colonnier@i2r.a-star.edu.sg, Della Vedova, Luca³ (AUTHOR) luca@openrobotics.org, Orchard, Garrick¹ (AUTHOR)

Source: Sensors (14248220). Dec2021, Vol. 21 Issue 23, p7840. 1p.

Subject Terms: *KALMAN filtering, *VISUAL odometry, *ALGORITHMS, *DETECTORS, *IMAGE sensors, *POINT cloud

Low-Power Dynamic Object Detection and Classification With Freely Moving Event Cameras.

Authors: Ramesh, Bharath, Ussa, Andrés, Della Vedova, Luca, Yang, Hong, Orchard, Garrick

Source: Frontiers in Neuroscience; 2/20/2020, Vol. 14, p1-15, 15p

Subject Terms: ARTIFICIAL neural networks, TUMOR classification, CAMERAS, OBJECT recognition (Computer vision), PRINCIPAL components analysis, FEATURE extraction