前言 论文地址:Event-based Moving Object Detection and Tracking 背景 主要贡献: 概念及算法理论 1.运动补偿模型 2.事件计数图(Event Count Image) 3.时间图像(Time-image) 4. 最小化约束 算法具体实现 检测与跟踪实验 检测 跟踪 实验 前言 最近看了点新鲜玩意儿,事件相机,看了这篇文章算是入个门,感觉可以做...
4. Event-assisted Low-Light Video Object Segmentation 主题:在事件相机的帮助下对低光照条件下的视频进行目标分割。 5. Scene Adaptive Sparse Transformer for Event-based Object Detection 主题:改进已有的sparse transformer让其处理事件信号的速度加快,主要是加入了selective window and token模块。 6. SD2Event:...
Whatever the application field, most of the works in event analysis are based on two main approaches: the former based on explicit event recognition, focused on finding high-level, semantic interpretations of video sequences, and the latter based on anomaly detection. This paper deals with the ...
Event-Based Object Detection and Tracking - A Traffic Monitoring Use Case - Traffic monitoring is an important task in many scenarios, in urban roads to identify dangerous behavior and on-highway to check for vehicles moving in the wrong direction. This task is usually performed using conventional...
Based on statistical learning theory, it built a classifier on Support Vector... K Song,YL Chang - International Conference on Intelligent Computation Technology & Automation 被引量: 7发表: 2009年 Hybrid SNN-ANN: Energy-Efficient Classification and Object Detection for Event-Based Vision Event-...
This paper first briefly describes the status, development process, advantages and challenges of event cameras, then introduces the working principle of various types of event cameras and some object detection algorithms based on event cameras, and finally explains the challenge...
把event stream 转换为图,是在这篇论文里首次提出的:[Graph-based Feature Learning for Neuromorphic Vision Sensing](javascript:void(0))。作者首先把 event stream 平均切分为 8 个 slice,将每个 slice 表示为一个图,通过图卷积神经网络(Graph2Grid 模块)将每个 slice 转换为一张帧,得到 8 张帧,每张帧看...
CVPR 2018HATS: Histograms of Averaged Time Surfaces for Robust Event-Based Object Classification 2.4 Detection PublicationTitleHighlight IROS 2018Towards Event-Driven Object Detection with Off-the-Shelf Deep Learning CVPR 2018Pseudo-Labels for Supervised Learning on Dynamic Vision Sensor Data, Applied to...
Previous version: Version: 4.0, Release date: March 2022 Definition: Subtasks of the dynamic driving task that include monitoring the driving environment and executing an appropriate response NOTE 1 This definition is adapted from SAE J3016 (2021). ...
The complexity of event-based object detection (OD) poses considerable challenges. Spiking Neural Networks (SNNs) show promising results and pave the way for efficient event-based OD. Despite this success, the path to efficient SNNs on embedded devices remains a challenge. This is due to the si...