Furthermore, we design a fusion scheme for integrating event-based detection results with standard frame-based detection results based on whether the event camera is capable of outputting standard frames. Our a
论文地址:Event-based Moving Object Detection and Tracking 背景 利用事件相机的高时间分辨率(我理解为在时间维度上不像传统的frame一样是离散的)、对光的高敏感度和低延迟,实现实时目标检测与跟踪。 主要贡献: 一个新的仅基于事件(event-only)而不基于特征(feature-less)的运动补偿pipeline 一个基于事件时间戳的...
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:...
Example Applications for Event Based Sensors Industrial Automation Industrial processes, inspection, monitoring, object identification, detection & tracking, handling, high speed motion control/robotics, AGV IoT & Surveillance Motion detection and analysis, intruder detection, traffic data acquisition, crowd ...
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). ...
there are few works addressing the task of event detection using ToF LiDAR measurements. A relevant task that has caught much research attention is moving object segmentation (MOS), which aims to segment points on moving objects from a LiDAR frame. Existing works on MOS are mainly based on con...
Here we present a new approach to SMLM data acquisition and processing based on an affordable event-based sensor. This type of sensor reacts to changes in light intensity, rather than integrating photons during the exposure time of each frame. Each pixel works independently and returns a signal...
Event-based Moving Object Detection and Tracking, IEEE/RSJ Int. Conf. Intelligent Robots and Systems (IROS), 2018. PDF, YouTube, Project page and Dataset Iacono, M., Weber, S., Glover, A., Bartolozzi, C., Towards Event-Driven Object Detection with Off-The-Shelf Deep Learning, IEEE/RSJ...
ISACS 2019 N-HAR: A neuromorphic event-based human activity recognition system using memory surfaces Memory Surface Neurosci 2019 Investigation of event-based surfaces for high-speed detection, unsupervised feature extraction, and object recognition Time-Window Normalization + SAE, Time-surfaces 3DV 2018...
Empower event detection with bi-directional neural language model Knowledge-Based Systems (2019) View more references Cited by (22) Knowledge-enhanced event relation extraction via event ontology prompt 2023, Information Fusion Citation Excerpt : ...