English
Related papers

Related papers: Fast-moving object counting with an event camera

200 papers

Event cameras are novel bio-inspired vision sensors that measure pixel-wise brightness changes asynchronously instead of images at a given frame rate. They offer promising advantages, namely a high dynamic range, low latency, and minimal…

Computer Vision and Pattern Recognition · Computer Science 2025-01-22 Friedhelm Hamann , Suman Ghosh , Ignacio Juarez Martinez , Tom Hart , Alex Kacelnik , Guillermo Gallego

Robotic grippers are receiving increasing attention in various industries as essential components of robots for interacting and manipulating objects. While significant progress has been made in the past, conventional rigid grippers still…

Robotics · Computer Science 2024-04-02 Qianyu Guo , Ziqing Yu , Jiaming Fu , Yawen Lu , Yahya Zweiri , Dongming Gan

Visual object tracking under challenging conditions of motion and light can be hindered by the capabilities of conventional cameras, prone to producing images with motion blur. Event cameras are novel sensors suited to robustly perform…

Computer Vision and Pattern Recognition · Computer Science 2022-12-16 Irene Perez-Salesa , Rodrigo Aldana-Lopez , Carlos Sagues

Event-based vision sensors mimic the operation of biological retina and they represent a major paradigm shift from traditional cameras. Instead of providing frames of intensity measurements synchronously, at artificially chosen rates,…

Computer Vision and Pattern Recognition · Computer Science 2015-10-08 Guillermo Gallego , Christian Forster , Elias Mueggler , Davide Scaramuzza

Camera calibration is an important prerequisite towards the solution of 3D computer vision problems. Traditional methods rely on static images of a calibration pattern. This raises interesting challenges towards the practical usage of event…

Computer Vision and Pattern Recognition · Computer Science 2021-07-29 Kun Huang , Yifu Wang , Laurent Kneip

Identifying independently moving objects is an essential task for dynamic scene understanding. However, traditional cameras used in dynamic scenes may suffer from motion blur or exposure artifacts due to their sampling principle. By…

Computer Vision and Pattern Recognition · Computer Science 2022-07-08 Yi Zhou , Guillermo Gallego , Xiuyuan Lu , Siqi Liu , Shaojie Shen

Counting objects is a fundamental but challenging problem. In this paper, we propose diffusion-based, geometry-free, and learning-free methodologies to count the number of objects in images. The main idea is to represent each object by a…

Computer Vision and Pattern Recognition · Computer Science 2022-11-08 Mengyi Tang , Maryam Yashtini , Sung Ha Kang

We present a method that leverages the complementarity of event cameras and standard cameras to track visual features with low-latency. Event cameras are novel sensors that output pixel-level brightness changes, called "events". They offer…

Computer Vision and Pattern Recognition · Computer Science 2019-01-21 Daniel Gehrig , Henri Rebecq , Guillermo Gallego , Davide Scaramuzza

Pose estimation and tracking of objects is a fundamental application in 3D vision. Event cameras possess remarkable attributes such as high dynamic range, low latency, and resilience against motion blur, which enables them to address…

Computer Vision and Pattern Recognition · Computer Science 2024-08-07 Zibin Liu , Banglei Guan , Yang Shang , Qifeng Yu , Laurent Kneip

Accurate people counting in smart buildings and intelligent transportation systems is crucial for energy management, safety protocols, and resource allocation. This is especially critical during emergencies, where precise occupant counts…

Computer Vision and Pattern Recognition · Computer Science 2024-11-18 Ishrath Ahamed , Chamith Dilshan Ranathunga , Dinuka Sandun Udayantha , Benny Kai Kiat Ng , Chau Yuen

We propose an approach to detect flying objects such as UAVs and aircrafts when they occupy a small portion of the field of view, possibly moving against complex backgrounds, and are filmed by a camera that itself moves. Solving such a…

Computer Vision and Pattern Recognition · Computer Science 2015-12-14 Artem Rozantsev , Vincent Lepetit , Pascal Fua

Event cameras are bio-inspired vision sensors that output pixel-level brightness changes instead of standard intensity frames. They offer significant advantages over standard cameras, namely a very high dynamic range, no motion blur, and a…

Robotics · Computer Science 2019-01-21 Elias Mueggler , Guillermo Gallego , Henri Rebecq , Davide Scaramuzza

Different from traditional video cameras, event cameras capture asynchronous events stream in which each event encodes pixel location, trigger time, and the polarity of the brightness changes. In this paper, we introduce a novel graph-based…

Computer Vision and Pattern Recognition · Computer Science 2023-08-29 Yijin Li , Han Zhou , Bangbang Yang , Ye Zhang , Zhaopeng Cui , Hujun Bao , Guofeng Zhang

The development of aerial autonomy has enabled aerial robots to fly agilely in complex environments. However, dodging fast-moving objects in flight remains a challenge, limiting the further application of unmanned aerial vehicles (UAVs).…

Robotics · Computer Science 2021-03-12 Botao He , Haojia Li , Siyuan Wu , Dong Wang , Zhiwei Zhang , Qianli Dong , Chao Xu , Fei Gao

Tracking the position and orientation of objects in space (i.e., in 6-DoF) in real time is a fundamental problem in robotics for environment interaction. It becomes more challenging when objects move at high-speed due to frame rate…

Computer Vision and Pattern Recognition · Computer Science 2025-08-21 Zhichao Li , Arren Glover , Chiara Bartolozzi , Lorenzo Natale

We introduce a novel method for measuring properties of periodic phenomena with an event camera, a device asynchronously reporting brightness changes at independently operating pixels. The approach assumes that for fast periodic phenomena,…

Computer Vision and Pattern Recognition · Computer Science 2024-02-26 Jakub Kolář , Radim Špetlík , Jiří Matas

Monitoring dietary intake is a crucial aspect of promoting healthy living. In recent years, advances in computer vision technology have facilitated dietary intake monitoring through the use of images and depth cameras. However, the current…

Computer Vision and Pattern Recognition · Computer Science 2024-05-15 Aaryam Sharma , Chris Czarnecki , Yuhao Chen , Pengcheng Xi , Linlin Xu , Alexander Wong

Event camera is a new type of sensor that is different from traditional cameras. Each pixel is triggered asynchronously by an event. The trigger event is the change of the brightness irradiated on the pixel. If the increment or decrement is…

Computer Vision and Pattern Recognition · Computer Science 2022-03-28 Kun Xiao , Pengju Li , Guohui Wang , Zhi Li , Yi Chen , Yongfeng Xie , Yuqiang Fang

Event cameras are a new type of sensors that are different from traditional cameras. Each pixel is triggered asynchronously by event. The trigger event is the change of the brightness irradiated on the pixel. If the increment or decrement…

Robotics · Computer Science 2022-02-09 Kun Xiao , Guohui Wang , Yi Chen , Yongfeng Xie , Hong Li , Sen Li

The use of unmanned aerial vehicles (UAVs) for smart agriculture is becoming increasingly popular. This is evidenced by recent scientific works, as well as the various competitions organised on this topic. Therefore, in this work we present…

Robotics · Computer Science 2025-03-18 Hubert Szolc , Mateusz Wasala , Remigiusz Mietla , Kacper Iwicki , Tomasz Kryjak