Results 261 to 270 of about 65,144 (299)

Human identification by gait from event-based camera

2019 16th International Conference on Machine Vision Applications (MVA), 2019
Gait recognition is a computer vision problem complementing other identification problems such as face or iris recognition. Unlike other identifiers, gait is based on the motion of body points and thus it can be captured by Dynamic Vision Sensor (DVS).
Anna Sokolova, Anton Konushin
openaire   +1 more source

Visual Tracking Using Neuromorphic Asynchronous Event-Based Cameras

Neural Computation, 2015
This letter presents a novel computationally efficient and robust pattern tracking method based on a time-encoded, frame-free visual data. Recent interdisciplinary developments, combining inputs from engineering and biology, have yielded a novel type of camera that encodes visual information into a continuous stream of asynchronous, temporal events ...
Zhenjiang Ni, Sio-Hoi Ieng, Christoph Posch, Stéphane Régnier, Ryad Benosman   +4 more
openaire   +2 more sources

Measuring Power Usage and Sensitivity to Movement for Event-Based Cameras

2020 IEEE SENSORS, 2020
Event-based cameras are emerging as new potential solutions for a variety of sensing applications. However, their capabilities must be better characterized before deploying in real systems. This research presents a new methodology to measure power usage and sensitivity to movement for event- based cameras, demonstrated with the iniVation DAVIS346 ...
Christopher L. Voelkel, Tyler M. Lovelly, Andrew C. Pineda, Peter N. McMahon-Crabtree, Gabriel D. Mounce   +4 more
openaire   +1 more source

Generalized Event Cameras

Event cameras capture the world at high time resolution and with minimal bandwidth requirements. However, event streams, which only encode changes in brightness, do not contain sufficient scene information to support a wide variety of downstream tasks ...
Varun Sundar, Matthew Dutson, Claudio Bruschini   +2 more
exaly   +4 more sources

Calibration of Event-based Camera and 3D LiDAR

2018 WRC Symposium on Advanced Robotics and Automation (WRC SARA), 2018
Calibration is an important step before fusing the data of multi-sensors together. The methods which had been proposed to calibrate a regular camera and 3D LiDAR cannot be used to calibrate the event-based camera and 3D LiDAR. Because the event-based camera needs the changing light to trigger.
Rihui Song, Zhihua Jiang, Yanghao Li, Yunxiao Shan, Kai Huang   +4 more
openaire   +1 more source

High-speed event-based camera tracking [PDF]

Proceedings of the British Machine Vision Conference 2020, 2020
William Chamorro, Juan Andrade-Cetto, Joan Solà   +2 more
openaire   +1 more source

TUMTraf Event: Calibration and Fusion Resulting in a Dataset for Roadside Event-Based and RGB Cameras

IEEE Transactions on Intelligent Vehicles
Event-based cameras are predestined for Intelligent Transportation Systems (ITS). They provide very high temporal resolution and dynamic range, which can eliminate motion blur and improve detection performance at night.
Christian Cress, Walter Zimmer, Venkatnarayanan Lakshminarasimhan   +2 more
exaly   +2 more sources

Neuromorphic Downsampling of Event-Based Camera Output

Neuro-Inspired Computational Elements Conference, 2023
Charles Rizzo, Catherine D. Schuman, James S. Plank   +2 more
openaire   +1 more source

Maritime Object Detection with Event-Based Cameras

2022 IEEE Applied Imagery Pattern Recognition Workshop (AIPR), 2022
Elan Sharghi, Jacob Rodriguez, Justin Mauger, Martin Jaszewski, Shibin Parameswaran   +4 more
openaire   +1 more source

Object Tracking with a Fusion of Event-Based Camera and Frame-Based Camera

2022
Haixin Sun, Vincent Frémont
openaire   +1 more source